Tung, F.[Frederick],
Little, J.J.[James J.],
Scene parsing by nonparametric label transfer of content-adaptive
windows,
CVIU(143), No. 1, 2016, pp. 191-200.
Elsevier DOI
1601
BibRef
Earlier:
CollageParsing:
Nonparametric Scene Parsing by Adaptive Overlapping Windows,
ECCV14(VI: 511-525).
Springer DOI
1408
Image parsing
BibRef
Tian, H.T.[Hai-Tao],
Qu, S.[Shiru],
Payeur, P.[Pierre],
A Prototypical Knowledge Oriented Adaptation Framework for Semantic
Segmentation,
IP(31), 2022, pp. 149-163.
IEEE DOI
2112
Image segmentation, Semantics, Task analysis, Adaptation models,
Training, Visualization, Image classification, Domain adaptation,
transfer learning
BibRef
Jian, Y.R.[Yi-Ren],
Gao, C.Y.[Chong-Yang],
MetaPix: Domain transfer for semantic segmentation by meta pixel
weighting,
IVC(116), 2021, pp. 104334.
Elsevier DOI
2112
Meta learning, Domain transfer learning, Semantic segmentation,
Street view semantic segmentation
BibRef
Shah, K.[Kunjal],
Bhat, G.[Gururaj],
Exploring semantic segmentation of related subclasses from a superset
of classes,
PR(124), 2022, pp. 108509.
Elsevier DOI
2203
Image segmentation, Stuff classes, Deeplab
BibRef
Zhang, B.[Bo],
Chen, T.[Tao],
Wang, B.[Bin],
Wu, X.F.[Xiao-Feng],
Zhang, L.M.[Li-Ming],
Fan, J.Y.[Jia-Yuan],
Densely Semantic Enhancement for Domain Adaptive Region-Free
Detectors,
CirSysVideo(32), No. 3, March 2022, pp. 1339-1352.
IEEE DOI
2203
Detectors, Feature extraction, Semantics, Object detection,
Proposals, Adaptation models, Task analysis,
adaptive region-free detectors
BibRef
Yuan, B.[Bo],
Zhao, D.[Danpei],
Shao, S.[Shuai],
Yuan, Z.H.[Ze-Huan],
Wang, C.H.[Chang-Hu],
Birds of a Feather Flock Together:
Category-Divergence Guidance for Domain Adaptive Segmentation,
IP(31), No. 2022, pp. 2878-2892.
IEEE DOI
2204
Image segmentation, Semantics, Adaptation models,
Feature extraction, Training, Generative adversarial networks,
intra-class aggregation
BibRef
Tian, Y.J.[Ying-Jie],
Zhu, S.[Siyu],
Partial Domain Adaptation on Semantic Segmentation,
CirSysVideo(32), No. 6, June 2022, pp. 3798-3809.
IEEE DOI
2206
Semantics, Image segmentation, Task analysis, Training, Annotations,
Adaptation models, Feature extraction, Semantic segmentation,
partial adaptation
BibRef
Wu, A.[Aming],
Han, Y.[Yahong],
Zhu, L.C.[Lin-Chao],
Yang, Y.[Yi],
Instance-Invariant Domain Adaptive Object Detection Via Progressive
Disentanglement,
PAMI(44), No. 8, August 2022, pp. 4178-4193.
IEEE DOI
2207
Feature extraction, Object detection, Training, Task analysis,
Optimization, Proposals, Adaptation models,
instance-invariant features
BibRef
Wu, A.[Aming],
Liu, R.[Rui],
Han, Y.[Yahong],
Zhu, L.C.[Lin-Chao],
Yang, Y.[Yi],
Vector-Decomposed Disentanglement for Domain-Invariant Object
Detection,
ICCV21(9322-9331)
IEEE DOI
2203
Object detection, Detectors, Performance gain, Feature extraction,
Proposals, Compounds,
Detection and localization in 2D and 3D
BibRef
Zheng, Z.D.[Zhe-Dong],
Yang, Y.[Yi],
Adaptive Boosting for Domain Adaptation:
Toward Robust Predictions in Scene Segmentation,
IP(31), 2022, pp. 5371-5382.
IEEE DOI
2208
Adaptation models, Data models, Training, Predictive models,
Computational modeling, Semantics, Benchmark testing,
scene segmentation
BibRef
Zhang, B.[Bo],
Chen, T.[Tao],
Wang, B.[Bin],
Li, R.Y.[Ruo-Yao],
Joint Distribution Alignment via Adversarial Learning for Domain
Adaptive Object Detection,
MultMed(24), 2022, pp. 4102-4112.
IEEE DOI
2208
Feature extraction, Detectors, Object detection,
Adversarial machine learning, Task analysis, Training,
class-wise transferability
BibRef
An, S.M.[Shu-Min],
Liao, Q.M.[Qing-Min],
Lu, Z.Q.[Zong-Qing],
Xue, J.H.[Jing-Hao],
Efficient Semantic Segmentation via Self-Attention and
Self-Distillation,
ITS(23), No. 9, September 2022, pp. 15256-15266.
IEEE DOI
2209
Semantics, Context modeling, Knowledge engineering, Correlation,
Convolution, Adaptation models, Transforms, Semantic segmentation,
layer-wise context distillation
BibRef
Zhao, Y.Y.[Yu-Yang],
Zhong, Z.[Zhun],
Luo, Z.M.[Zhi-Ming],
Lee, G.H.[Gim Hee],
Sebe, N.[Nicu],
Source-Free Open Compound Domain Adaptation in Semantic Segmentation,
CirSysVideo(32), No. 10, October 2022, pp. 7019-7032.
IEEE DOI
2210
Adaptation models, Compounds, Training, Semantics, Data models,
Image segmentation, Transfer learning, Semantic segmentation,
source-free domain adaptation
BibRef
Wang, W.[Wei],
Zhong, Z.[Zhun],
Wang, W.J.[Wei-Jie],
Chen, X.[Xi],
Ling, C.[Charles],
Wang, B.[Boyu],
Sebe, N.[Nicu],
Dynamically Instance-Guided Adaptation: A Backward-free Approach for
Test-Time Domain Adaptive Semantic Segmentation,
CVPR23(24090-24099)
IEEE DOI
2309
BibRef
Li, G.[Guofa],
Ji, Z.F.[Ze-Feng],
Qu, X.D.[Xing-Da],
Stepwise Domain Adaptation (SDA) for Object Detection in Autonomous
Vehicles Using an Adaptive CenterNet,
ITS(23), No. 10, October 2022, pp. 17729-17743.
IEEE DOI
2210
Object detection, Detectors, Training, Deep learning,
Feature extraction, Adaptive systems, Task analysis,
adversarial learning
BibRef
Klingner, M.[Marvin],
Ayache, M.[Mouadh],
Fingscheidt, T.[Tim],
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation,
ITS(23), No. 11, November 2022, pp. 20899-20911.
IEEE DOI
2212
Semantics, Adaptation models, Task analysis, Data models,
Image segmentation, Neural networks, Delays, Domain adaptation,
batch normalization
BibRef
Bou, X.[Xavier],
A Study of RobustNet, a Domain Generalization Method for Semantic
Segmentation,
IPOL(12), 2022, pp. 469-479.
DOI Link
2212
Code, Domain Generalization.
Code, Semantic Segmentation.
See also RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening.
BibRef
Chen, J.Z.[Jun-Zhang],
Liu, Z.C.[Zi-Chao],
Jin, D.[Darui],
Wang, Y.Y.[Yuan-Yuan],
Yang, F.[Fan],
Bai, X.Z.[Xiang-Zhi],
Light Transport Induced Domain Adaptation for Semantic Segmentation
in Thermal Infrared Urban Scenes,
ITS(23), No. 12, December 2022, pp. 23194-23211.
IEEE DOI
2212
Semantics, Image segmentation, Task analysis, Feature extraction,
Cameras, Voltage control, Lighting, Urban scenes, semantic segmentation
BibRef
Liu, F.[Feng],
Zhang, X.S.[Xiao-Song],
Wan, F.[Fang],
Ji, X.Y.[Xiang-Yang],
Ye, Q.X.[Qi-Xiang],
Domain Contrast for Domain Adaptive Object Detection,
CirSysVideo(32), No. 12, December 2022, pp. 8227-8237.
IEEE DOI
2212
Detectors, Adaptation models, Object detection, Feature extraction,
Minimization, Transfer learning, Task analysis, Domain adaptation,
transfer learning
BibRef
Zhang, Y.[You],
Chen, H.[Houjin],
Li, Y.F.[Yan-Feng],
Zhou, J.Q.[Jun-Qi],
ImDeeplabV3plus with instance selective whitening loss in domain
generalization semantic segmentation,
IET-ITS(17), No. 1, 2023, pp. 180-192.
DOI Link
2301
BibRef
Zhou, Q.Y.[Qian-Yu],
Feng, Z.Y.[Zheng-Yang],
Gu, Q.Q.[Qi-Qi],
Pang, J.M.[Jiang-Miao],
Cheng, G.L.[Guang-Liang],
Lu, X.Q.[Xue-Quan],
Shi, J.P.[Jian-Ping],
Ma, L.Z.[Li-Zhuang],
Context-Aware Mixup for Domain Adaptive Semantic Segmentation,
CirSysVideo(33), No. 2, February 2023, pp. 804-817.
IEEE DOI
2302
Semantics, Image segmentation, Adaptation models, Uncertainty,
Task analysis, Degradation, Domain adaptation, scene understanding
BibRef
Xu, S.[Shan],
Zhang, H.D.[Huai-Dong],
Xu, X.M.[Xue-Miao],
Hu, X.W.[Xiao-Wei],
Xu, Y.Y.[Yang-Yang],
Dai, L.G.[Lian-Gui],
Choi, K.S.[Kup-Sze],
Heng, P.A.[Pheng-Ann],
Representative Feature Alignment for Adaptive Object Detection,
CirSysVideo(33), No. 2, February 2023, pp. 689-700.
IEEE DOI
2302
Feature extraction, Detectors, Proposals, Adaptation models,
Object detection, Semantics, Prototypes, Domain adaptation,
object detection
BibRef
Chen, C.Q.[Chao-Qi],
Li, J.C.[Jiong-Cheng],
Zhou, H.Y.[Hong-Yu],
Han, X.G.[Xiao-Guang],
Huang, Y.[Yue],
Ding, X.H.[Xing-Hao],
Yu, Y.Z.[Yi-Zhou],
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning
for Domain Adaptive Object Detection,
PAMI(45), No. 3, March 2023, pp. 3677-3694.
IEEE DOI
2302
Cognition, Feature extraction, Semantics, Object detection, Training,
Task analysis, Knowledge transfer,
intra- and inter-domain
BibRef
Qiu, Y.Q.[Yi-Qiao],
Shen, Y.X.[Yi-Xing],
Sun, Z.H.[Zhuo-Hao],
Zheng, Y.C.[Yan-Chong],
Chang, X.B.[Xia-Bin],
Zheng, W.S.[Wei-Shi],
Wang, R.X.[Rui-Xuan],
SATS: Self-attention transfer for continual semantic segmentation,
PR(138), 2023, pp. 109383.
Elsevier DOI
2303
Continual learning, Semantic segmentation,
Self-attention transfer, Class-specific region pooling
BibRef
Ouyang, C.[Cheng],
Chen, C.[Chen],
Li, S.[Surui],
Li, Z.[Zeju],
Qin, C.[Chen],
Bai, W.J.[Wen-Jia],
Rueckert, D.[Daniel],
Causality-Inspired Single-Source Domain Generalization for Medical
Image Segmentation,
MedImg(42), No. 4, April 2023, pp. 1095-1106.
IEEE DOI
2304
Image segmentation, Training, Biomedical imaging, Correlation,
Robustness, Data models, Training data, Domain generalization,
data augmentation
BibRef
Li, W.Y.[Wu-Yang],
Liu, X.Y.[Xin-Yu],
Yuan, Y.X.[Yi-Xuan],
SIGMA++: Improved Semantic-Complete Graph Matching for Domain
Adaptive Object Detection,
PAMI(45), No. 7, July 2023, pp. 9022-9040.
IEEE DOI
2306
BibRef
Earlier:
SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object
Detection,
CVPR22(5281-5290)
IEEE DOI
2210
Semantics, Adaptation models, Object detection, Prototypes,
Image edge detection, Detectors, Feature extraction.
Training, GSM, Visualization, Semantics,
Self- semi- meta- Visual reasoning
BibRef
Li, W.Y.[Wu-Yang],
Liu, X.Y.[Xin-Yu],
Yuan, Y.X.[Yi-Xuan],
SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive
Object Detection,
MultMed(25), 2023, pp. 7051-7061.
IEEE DOI Code:
WWW Link.
2311
BibRef
Zhou, Q.Y.[Qian-Yu],
Gu, Q.Q.[Qi-Qi],
Pang, J.M.[Jiang-Miao],
Lu, X.Q.[Xue-Quan],
Ma, L.Z.[Li-Zhuang],
Self-Adversarial Disentangling for Specific Domain Adaptation,
PAMI(45), No. 7, July 2023, pp. 8954-8968.
IEEE DOI
2306
Object detection, Semantic segmentation, Adaptation models,
Meteorology, Computational modeling, Training, Task analysis,
scene understanding
BibRef
Xie, B.H.[Bin-Hui],
Li, S.[Shuang],
Li, M.J.[Ming-Jia],
Liu, C.H.[Chi Harold],
Huang, G.[Gao],
Wang, G.R.[Guo-Ren],
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic
Segmentation,
PAMI(45), No. 7, July 2023, pp. 9004-9021.
IEEE DOI
2306
Semantics, Training, Task analysis, Semantic segmentation, Adaptation models,
Prototypes, Visualization, Domain adaptation, self-training
BibRef
Guo, X.Q.[Xiao-Qing],
Liu, J.[Jie],
Liu, T.L.[Tong-Liang],
Yuan, Y.X.[Yi-Xuan],
Handling Open-Set Noise and Novel Target Recognition in Domain
Adaptive Semantic Segmentation,
PAMI(45), No. 8, August 2023, pp. 9846-9861.
IEEE DOI
2307
BibRef
Earlier:
SimT: Handling Open-set Noise for Domain Adaptive Semantic
Segmentation,
CVPR22(7022-7031)
IEEE DOI
2210
Semantics, Noise measurement, Target recognition,
Semantic segmentation, Data models, Adaptation models,
simplex noise transition matrix.
Representation learning, Adaptation models, Solid modeling,
Computational geometry, Computational modeling,
grouping and shape analysis
BibRef
Ma, L.F.[Ling-Feng],
Xie, H.T.[Hong-Tao],
Liu, C.B.[Chuan-Bin],
Zhang, Y.D.[Yong-Dong],
Learning Cross-Channel Representations for Semantic Segmentation,
MultMed(25), 2023, pp. 2774-2787.
IEEE DOI
2307
Feature extraction, Semantics, Cognition, Convolution, Image segmentation,
Data mining, Context modeling, inter-channel relationship
BibRef
Lu, Z.[Zhihe],
Li, D.[Da],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Hospedales, T.M.[Timothy M.],
Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation,
IP(32), 2023, pp. 4664-4676.
IEEE DOI
2309
BibRef
Ning, M.[Munan],
Lu, D.H.[Dong-Huan],
Xie, Y.J.[Yu-Jia],
Chen, D.D.[Dong-Dong],
Wei, D.[Dong],
Zheng, Y.F.[Ye-Feng],
Tian, Y.H.[Yong-Hong],
Yan, S.C.[Shui-Cheng],
Yuan, L.[Li],
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation
Segmentation,
PAMI(45), No. 11, November 2023, pp. 13553-13566.
IEEE DOI
2310
BibRef
Ning, M.[Munan],
Lu, D.H.[Dong-Huan],
Wei, D.[Dong],
Bian, C.[Cheng],
Yuan, C.L.[Cheng-Lang],
Yu, S.[Shuang],
Ma, K.[Kai],
Zheng, Y.F.[Ye-Feng],
Multi-Anchor Active Domain Adaptation for Semantic Segmentation,
ICCV21(9092-9102)
IEEE DOI
2203
Training, Costs, Codes, Annotations, Semantics, Manuals,
Transfer/Low-shot/Semi/Unsupervised Learning,
grouping and shape
BibRef
Chao, C.H.[Chen-Hao],
Cheng, B.W.[Bo-Wun],
Wang, T.W.[Tzu-Wen],
Liao, H.R.[Huang-Ru],
Lee, C.Y.[Chun-Yi],
Rainbow UDA: Combining Domain Adaptive Models for Semantic
Segmentation Tasks,
PAMI(45), No. 10, October 2023, pp. 12707-12713.
IEEE DOI
2310
BibRef
Dong, Y.S.[Yong-Sheng],
Zhao, K.Y.[Kai-Yuan],
Zheng, L.T.[Lin-Tao],
Yang, H.T.[Hao-Tian],
Liu, Q.[Qing],
Pei, Y.H.[Yuan-Hua],
Refinement Co-supervision network for real-time semantic segmentation,
IET-CV(17), No. 6, 2023, pp. 652-662.
DOI Link
2310
image segmentation
BibRef
Kang, M.[Myeongkyun],
Chikontwe, P.[Philip],
Won, D.[Dongkyu],
Luna, M.[Miguel],
Park, S.H.[Sang Hyun],
Structure-preserving image translation for multi-source medical image
domain adaptation,
PR(144), 2023, pp. 109840.
Elsevier DOI
2310
Domain adaptation, Data augmentation, Mutual information,
Segmentation, Unpaired image translation
BibRef
Zhang, L.[Lei],
Qin, L.Y.[Ling-Yun],
Xu, M.J.[Ming-Jun],
Chen, W.J.[Wei-Jie],
Pu, S.L.[Shi-Liang],
Zhang, W.S.[Wen-Sheng],
Randomized Spectrum Transformations for Adapting Object Detector in
Unseen Domains,
IP(32), 2023, pp. 4868-4879.
IEEE DOI
2310
BibRef
Munir, M.A.[Muhammad Akhtar],
Khan, M.H.[Muhammad Haris],
Sarfraz, M.S.[M. Saquib],
Ali, M.[Mohsen],
Domain Adaptive Object Detection via Balancing Between Self-Training
and Adversarial Learning,
PAMI(45), No. 12, December 2023, pp. 14353-14365.
IEEE DOI
2311
BibRef
Pang, J.[Jian],
Liu, W.F.[Wei-Feng],
Zhang, B.F.[Bing-Feng],
Yang, X.H.[Xing-Hao],
Liu, B.[Baodi],
Tao, D.P.[Da-Peng],
MCNet: Magnitude consistency network for domain adaptive object
detection under inclement environments,
PR(145), 2024, pp. 109947.
Elsevier DOI
2311
Object detection, Inclement environments, Frequency domain, Magnitude spectrum
BibRef
Hu, X.G.[Xue-Gang],
Xu, S.H.[Shu-Han],
Jing, L.Y.[Li-Yuan],
Lightweight attention-guided redundancy-reuse network for real-time
semantic segmentation,
IET-IPR(17), No. 9, 2023, pp. 2649-2658.
DOI Link
2307
convolutional neural nets, image segmentation, neural net architecture
BibRef
Hu, X.G.[Xue-Gang],
Liu, Y.J.[Yuan-Jing],
Lightweight multi-scale attention-guided network for real-time
semantic segmentation,
IVC(139), 2023, pp. 104823.
Elsevier DOI
2311
Lightweight network, Attention mechanism,
Multi-scale feature fusion, Real-time semantic segmentation
BibRef
Wu, J.H.[Jiang-Hao],
Wang, G.[Guotai],
Gu, R.[Ran],
Lu, T.[Tao],
Chen, Y.[Yinan],
Zhu, W.T.[Wen-Tao],
Vercauteren, T.[Tom],
Ourselin, S.[Sébastien],
Zhang, S.T.[Shao-Ting],
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain
Adaptation for Medical Image Segmentation,
MedImg(42), No. 12, December 2023, pp. 3932-3943.
IEEE DOI
2312
BibRef
Suzuki, S.[Satoshi],
Yamane, T.[Taiga],
Makishima, N.[Naoki],
Suzuki, K.[Keita],
Ando, A.[Atsushi],
Masumura, R.[Ryo],
OnDA-DETR: Online Domain Adaptation for Detection Transformers with
Self-Training Framework,
ICIP23(1780-1785)
IEEE DOI
2312
BibRef
Xi, Z.H.[Zhi-Hao],
Meng, Y.[Yu],
Chen, J.B.[Jing-Bo],
Deng, Y.P.[Yu-Peng],
Liu, D.[Diyou],
Kong, Y.L.[Yun-Long],
Yue, A.Z.[An-Zhi],
Learning to Adapt Adversarial Perturbation Consistency for Domain
Adaptive Semantic Segmentation of Remote Sensing Images,
RS(15), No. 23, 2023, pp. 5498.
DOI Link
2312
BibRef
Hoyer, L.[Lukas],
Dai, D.X.[Deng-Xin],
Van Gool, L.J.[Luc J.],
Domain Adaptive and Generalizable Network Architectures and Training
Strategies for Semantic Image Segmentation,
PAMI(46), No. 1, January 2024, pp. 220-235.
IEEE DOI
2312
BibRef
Earlier:
DAFormer: Improving Network Architectures and Training Strategies for
Domain-Adaptive Semantic Segmentation,
CVPR22(9914-9925)
IEEE DOI
2210
Training, Image segmentation, Annotations, Semantics,
Network architecture, Transformers,
Transfer/low-shot/long-tail learning
BibRef
Doan, A.D.[Anh-Dzung],
Nguyen, B.L.[Bach Long],
Gupta, S.[Surabhi],
Reid, I.D.[Ian D.],
Wagner, M.[Markus],
Chin, T.J.[Tat-Jun],
Assessing domain gap for continual domain adaptation in object
detection,
CVIU(238), 2024, pp. 103885.
Elsevier DOI Code:
WWW Link.
2312
Domain gap, Continual domain adaptation, Object detection
BibRef
Chen, Y.[Yang],
Shan, L.[Liang],
Qu, Y.[Yi],
Zhang, W.L.[Wei-Long],
Chang, L.[Lu],
AMSC: Adaptive Masking and Structure-Constraint Learning for Domain
Adaptive Semantic Segmentation Under Adverse Conditions,
SPLetters(31), 2024, pp. 181-185.
IEEE DOI
2401
BibRef
Kim, S.[Sunghwan],
Kim, D.H.[Dae-Hwan],
Kim, H.[Hoseong],
Texture Learning Domain Randomization for Domain Generalized
Segmentation,
ICCV23(677-687)
IEEE DOI Code:
WWW Link.
2401
BibRef
Peng, J.K.[Jun-Kun],
Sun, M.J.[Ming-Jie],
Lim, E.G.[Eng Gee],
Wang, Q.F.[Qiu-Feng],
Xiao, J.[Jimin],
Prototype Guided Pseudo Labeling and Perturbation-based Active
Learning for domain adaptive semantic segmentation,
PR(148), 2024, pp. 110203.
Elsevier DOI
2402
Domain adaptation, Active learning, Prototype, Perturbation
BibRef
Zhu, G.L.[Gui-Lin],
Wang, R.M.[Run-Min],
Liu, Y.Y.[Ying-Ying],
Zhu, Z.L.[Zhen-Lin],
Gao, C.X.[Chang-Xin],
Liu, L.[Li],
Sang, N.[Nong],
An Adaptive Post-Processing Network With the Global-Local Aggregation
for Semantic Segmentation,
CirSysVideo(34), No. 2, February 2024, pp. 1159-1173.
IEEE DOI Code:
WWW Link.
2402
Context modeling, Semantic segmentation, Task analysis,
Predictive models, Transformers, Modeling, Adaptation models,
class-aware attention
BibRef
Ma, Y.[You],
Chai, L.[Lin],
Jin, L.[Lizuo],
Yan, J.[Jun],
Hierarchical alignment network for domain adaptive object detection
in aerial images,
PandRS(208), 2024, pp. 39-52.
Elsevier DOI Code:
WWW Link.
2402
Object detection, Domain adaptation, Aerial image,
Feature alignment, Transfer learning
BibRef
Guo, Y.S.[Yin-Sai],
Yu, H.[Hang],
Xie, S.R.[Shao-Rong],
Ma, L.Y.[Li-Yan],
Cao, X.Z.[Xin-Zhi],
Luo, X.F.[Xiang-Feng],
DSCA: A Dual Semantic Correlation Alignment Method for domain
adaptation object detection,
PR(150), 2024, pp. 110329.
Elsevier DOI
2403
Object detection, Domain Adaptive Object Detection,
Domain adaptation, Semantic information, Semantic Correlation Alignment
BibRef
Wang, Q.L.[Qi-Long],
Wu, Y.W.[Yi-Wen],
Yang, L.[Liu],
Zuo, W.M.[Wang-Meng],
Hu, Q.H.[Qing-Hua],
Layer-Specific Knowledge Distillation for Class Incremental Semantic
Segmentation,
IP(33), 2024, pp. 1977-1989.
IEEE DOI
2403
Semantics, Semantic segmentation, Task analysis, Predictive models,
Optimization methods, Iterative methods, Heuristic algorithms,
semantic segmentation
BibRef
Gao, S.N.[Sui-Ning],
Yang, X.B.[Xiu-Bin],
Jiang, L.[Li],
Fu, Z.Q.[Zong-Qiang],
Du, J.[Jiamin],
Global feature-based multimodal semantic segmentation,
PR(151), 2024, pp. 110340.
Elsevier DOI Code:
WWW Link.
2404
RGB-P, Multimodal fusion, Cross-filed attention, Semantic segmentation
BibRef
Li, Y.[Yang],
Zhang, S.S.[Shan-Shan],
Liu, Y.[Yunan],
Yang, J.[Jian],
Loose to compact feature alignment for domain adaptive object
detection,
PRL(181), 2024, pp. 92-98.
Elsevier DOI
2405
Domain adaptation, Object detection,
Mask guided foreground alignment, Class-wise instance alignment
BibRef
Gao, D.[Ding],
Wang, Q.[Qian],
Yang, J.[Jian],
Wu, J.L.[Jun-Long],
Domain adaptive object detection via synthetically generated
intermediate domain and progressive feature alignment,
IVC(154), 2025, pp. 105404.
Elsevier DOI
2502
Domain adaption, Object detection, Intermediate domain,
Progressive feature alignment
BibRef
Zhang, S.Q.[Si-Qi],
Zhang, L.[Lu],
Liu, Z.Y.[Zhi-Yong],
Active Domain Adaptation for Semantic Segmentation via Dynamically
Balancing Domainness and Uncertainty,
IVC(148), 2024, pp. 105132.
Elsevier DOI
2407
Active learning, Domain adaptation, Semantic segmentation, Transfer learning
BibRef
Sun, Z.C.[Zhi-Chao],
Zhu, H.[Huachao],
Xiao, X.[Xin],
Gu, Y.L.[Yu-Liang],
Xu, Y.C.[Yong-Chao],
Nighttime image semantic segmentation with retinex theory,
IVC(148), 2024, pp. 105149.
Elsevier DOI Code:
WWW Link.
2407
Retinex decomposition, Semantic segmentation, Nighttime vision
BibRef
Zhang, G.[Gege],
Wang, L.P.[Lu-Ping],
Chen, Z.P.[Zeng-Ping],
A Step-Wise Domain Adaptation Detection Transformer for Object
Detection under Poor Visibility Conditions,
RS(16), No. 15, 2024, pp. 2722.
DOI Link
2408
BibRef
Liu, Y.J.[Ya-Jie],
Ge, P.[Pu],
Liu, Q.J.[Qing-Jie],
Fan, S.C.[Shi-Chao],
Wang, Y.H.[Yun-Hong],
An Empirical Study on Multi-domain Robust Semantic Segmentation,
IJCV(132), No. 10, October 2024, pp. 4289-4304.
Springer DOI
2410
BibRef
Fan, Q.Z.[Qi-Zhe],
Shen, X.Q.[Xiao-Qin],
Ying, S.H.[Shi-Hui],
Du, S.[Shaoyi],
OTCLDA: Optimal Transport and Contrastive Learning for Domain
Adaptive Semantic Segmentation,
ITS(25), No. 10, October 2024, pp. 14685-14697.
IEEE DOI Code:
WWW Link.
2410
Semantic segmentation, Semantics, Probability distribution,
Adaptation models, Training, Task analysis, Fans, Domain adaptation,
self-training
BibRef
Zhang, L.[Libo],
Zhou, W.Z.[Wen-Zhang],
Fan, H.[Heng],
Luo, T.J.[Tie-Jian],
Ling, H.B.[Hai-Bin],
Robust Domain Adaptive Object Detection With Unified
Multi-Granularity Alignment,
PAMI(46), No. 12, December 2024, pp. 9161-9178.
IEEE DOI
2411
Detectors, Feature extraction, Object detection, Robustness,
Proposals, Logic gates, Adaptation models,
omni-scale gated fusion
BibRef
Zhou, W.Z.[Wen-Zhang],
Du, D.W.[Da-Wei],
Zhang, L.[Libo],
Luo, T.J.[Tie-Jian],
Wu, Y.J.[Yan-Jun],
Multi-Granularity Alignment Domain Adaptation for Object Detection,
CVPR22(9571-9580)
IEEE DOI
2210
Representation learning, Aggregates, Object detection, Detectors,
Logic gates, Feature extraction, Recognition: detection,
Self- semi- meta- unsupervised learning
BibRef
Zhang, J.M.[Jia-Ming],
Yang, K.L.[Kai-Lun],
Shi, H.[Hao],
Reiß, S.[Simon],
Peng, K.Y.[Kun-Yu],
Ma, C.X.[Chao-Xiang],
Fu, H.D.[Hao-Dong],
Torr, P.H.S.[Philip H. S.],
Wang, K.W.[Kai-Wei],
Stiefelhagen, R.[Rainer],
Behind Every Domain There is a Shift: Adapting Distortion-Aware
Vision Transformers for Panoramic Semantic Segmentation,
PAMI(46), No. 12, December 2024, pp. 8549-8567.
IEEE DOI
2411
BibRef
Earlier: A1, A2, A6, A4, A5, A10, Only:
Bending Reality: Distortion-aware Transformers for Adapting to
Panoramic Semantic Segmentation,
CVPR22(16896-16906)
IEEE DOI
2210
Adaptation models, Transformers, Semantic segmentation,
Task analysis, Solid modeling, Semantics, Deformation, vision transformers.
Training, Image segmentation, Annotations, Shape,
Scene analysis and understanding,
Self- semi- meta- unsupervised learning
BibRef
Yuan, B.[Bo],
Zhao, D.[Danpei],
A Survey on Continual Semantic Segmentation:
Theory, Challenge, Method and Application,
PAMI(46), No. 12, December 2024, pp. 10891-10910.
IEEE DOI
2411
Semantics, Task analysis, Semantic segmentation, Data models,
Surveys, Presence network agents, Predictive models, semantic drift
BibRef
Li, X.T.[Xiang-Tai],
Ding, H.H.[Heng-Hui],
Yuan, H.[Haobo],
Zhang, W.W.[Wen-Wei],
Pang, J.M.[Jiang-Miao],
Cheng, G.L.[Guang-Liang],
Chen, K.[Kai],
Liu, Z.W.[Zi-Wei],
Loy, C.C.[Chen Change],
Transformer-Based Visual Segmentation: A Survey,
PAMI(46), No. 12, December 2024, pp. 10138-10163.
IEEE DOI
2411
Survey, Transformers. Image segmentation, Transformers, Surveys, Task analysis,
Measurement, Object detection, Visualization,
scene understanding
BibRef
Ke, J.J.[Jun-Jie],
He, L.[Lihuo],
Han, B.[Bo],
Li, J.[Jie],
Wang, D.[Di],
Gao, X.B.[Xin-Bo],
VLDadaptor: Domain Adaptive Object Detection With Vision-Language
Model Distillation,
MultMed(26), 2024, pp. 11316-11331.
IEEE DOI
2412
Feature extraction, Detectors, Visualization, Pipelines, Training,
Object detection, Crops, Domain adaptive object detection (DAOD),
visual-language embedding space
BibRef
Zhang, H.[Hui],
Luo, G.Y.[Gui-Yang],
Cao, Y.Z.H.[Yuan-Zhou-Han],
Wang, X.[Xiao],
Li, Y.D.[Yi-Dong],
Wang, F.Y.[Fei-Yue],
Scale-Disentangled and Uncertainty-Guided Alignment for
Domain-Adaptive Object Detection,
ITS(25), No. 12, December 2024, pp. 19507-19521.
IEEE DOI
2412
Object detection, Feature extraction, Proposals, Detectors,
Task analysis, Training, Representation learning, Object detection,
adversarial feature learning
BibRef
Zhao, S.C.[Si-Cheng],
Yao, H.Z.[Hui-Zai],
Lin, C.[Chuang],
Gao, Y.[Yue],
Ding, G.G.[Gui-Guang],
Multi-source-free Domain Adaptive Object Detection,
IJCV(132), No. 12, December 2024, pp. 5950-5982.
Springer DOI
2501
BibRef
And:
Correction:
IJCV(133), No. 4, April 2025, pp. 2245-2245.
Springer DOI
2504
BibRef
Yao, X.X.[Xing-Xu],
Zhao, S.C.[Si-Cheng],
Xu, P.F.[Peng-Fei],
Yang, J.F.[Ju-Feng],
Multi-Source Domain Adaptation for Object Detection,
ICCV21(3253-3262)
IEEE DOI
2203
Adaptation models, Annotations, Supervised learning,
Object detection, Feature extraction, Approximation algorithms,
BibRef
Ding, F.F.[Fei-Fei],
Li, J.J.[Jian-Jun],
Multi-Level Collaborative Learning for Multi-Target Domain Adaptive
Semantic Segmentation,
CirSysVideo(34), No. 12, December 2024, pp. 12730-12740.
IEEE DOI Code:
WWW Link.
2501
Adaptation models, Training, Task analysis, Federated learning,
Semantic segmentation, Semantics,
knowledge distillation
BibRef
Jeong, S.W.[Seong-Won],
Kim, J.Y.[Ji-Yeong],
Kim, S.[Sungheui],
Min, D.B.[Dong-Bo],
Revisiting Domain-Adaptive Semantic Segmentation via Knowledge
Distillation,
IP(33), 2024, pp. 6761-6773.
IEEE DOI
2501
Adaptation models, Data models, Semantic segmentation, Training, Semantics,
Employment, Contrastive learning, Synthetic data, knowledge distillation
BibRef
Bai, Y.F.[Yun-Fei],
Liu, C.[Chang],
Yang, R.[Rui],
Li, X.M.[Xiao-Mao],
Enhanced soft domain adaptation for object detection in the dark,
JVCIR(106), 2025, pp. 104337.
Elsevier DOI
2501
Domain gap, Soft label, Domain adaptive object detection,
Ring-shaped spectral transfer
BibRef
Liao, M.[Muxin],
Tian, S.[Shishun],
Zhang, Y.H.[Yu-Hang],
Hua, G.G.[Guo-Guang],
You, R.[Rong],
Zou, W.B.[Wen-Bin],
Li, X.[Xia],
Class-discriminative domain generalization for semantic segmentation,
IVC(154), 2025, pp. 105393.
Elsevier DOI
2502
Domain generalization, Text embeddings,
Dual prototypical contrastive learning, Semantic segmentation
BibRef
Liao, M.[Muxin],
Tian, S.[Shishun],
Wei, B.B.[Bin-Bin],
Zhang, Y.H.[Yu-Hang],
Zou, W.B.[Wen-Bin],
Li, X.[Xia],
Class-Balanced Sampling and Discriminative Stylization for Domain
Generalization Semantic Segmentation,
ITS(26), No. 2, February 2025, pp. 2596-2608.
IEEE DOI Code:
WWW Link.
2502
Semantic segmentation, Semantics,
Intelligent transportation systems, Training data, Training,
class-discriminative stylization
BibRef
Wei, X.[Xin],
Gu, X.[Xiang],
Sun, J.[Jian],
Multi-Scale Part-Based Feature Representation for 3D Domain
Generalization and Adaptation,
PAMI(47), No. 3, March 2025, pp. 1414-1430.
IEEE DOI
2502
Point cloud compression, Shape, Training, Geometry,
Adaptation models, Solid modeling, Contrastive learning,
point cloud classification
BibRef
Tan, J.J.[Jiao-Jiao],
Zhang, H.W.[Hai-Wei],
Yao, N.[Ning],
Yu, Q.[Qiang],
One-shot adaptation for cross-domain semantic segmentation in remote
sensing images,
PR(162), 2025, pp. 111390.
Elsevier DOI
2503
Remote sensing segmentation, One-shot domain adaptation, Minimax strategy
BibRef
Ji, D.Y.[De-Yi],
Zhao, F.[Feng],
Lu, H.T.[Hong-Tao],
Wu, F.[Feng],
Ye, J.P.[Jie-Ping],
Structural and Statistical Texture Knowledge Distillation and
Learning for Segmentation,
PAMI(47), No. 5, May 2025, pp. 3639-3656.
IEEE DOI
2504
Feature extraction, Semantic segmentation, Semantics,
Image resolution, Context modeling, Wavelet transforms, statistical texture
BibRef
Ji, D.Y.[De-Yi],
Wang, H.R.[Hao-Ran],
Tao, M.Y.[Ming-Yuan],
Huang, J.Q.[Jian-Qiang],
Hua, X.S.[Xian-Sheng],
Lu, H.T.[Hong-Tao],
Structural and Statistical Texture Knowledge Distillation for
Semantic Segmentation,
CVPR22(16855-16864)
IEEE DOI
2210
Knowledge engineering, Quantization (signal), Laplace equations,
Image analysis, Shape, Semantics, Force,
grouping and shape analysis
BibRef
Liao, M.[Muxin],
Li, W.[Wei],
Yin, C.L.[Chang-Le],
Jin, Y.L.[Yu-Ling],
Peng, Y.Q.[Ying-Qiong],
Concept-guided domain generalization for semantic segmentation,
PR(164), 2025, pp. 111550.
Elsevier DOI Code:
WWW Link.
2504
Domain generalization, Semantic segmentation,
Semantic concept token, Concept-contextual calibration
BibRef
Liu, Y.W.[Yuan-Wei],
Liu, N.[Nian],
Wu, Y.[Yi],
Cholakkal, H.[Hisham],
Anwer, R.M.[Rao Muhammad],
Yao, X.[Xiwen],
Han, J.W.[Jun-Wei],
NTRENet++: Unleashing the Power of Non-Target Knowledge for Few-Shot
Semantic Segmentation,
CirSysVideo(35), No. 5, May 2025, pp. 4314-4328.
IEEE DOI Code:
WWW Link.
2505
Prototypes, Semantic segmentation, Contrastive learning, Training,
Accuracy, Object segmentation, Neural networks, Focusing, Decoding,
video object segmentation
BibRef
Liu, Y.W.[Yuan-Wei],
Liu, N.[Nian],
Cao, Q.L.[Qing-Long],
Yao, X.[Xiwen],
Han, J.W.[Jun-Wei],
Shao, L.[Ling],
Learning Non-target Knowledge for Few-shot Semantic Segmentation,
CVPR22(11563-11572)
IEEE DOI
2210
Codes, Shape, Semantics, Prototypes, Object segmentation,
Filtering algorithms, Segmentation, grouping and shape analysis,
Transfer/low-shot/long-tail learning
BibRef
Chen, J.P.[Jin-Peng],
Cong, R.M.[Run-Min],
Luo, Y.X.[Yu-Xuan],
Ip, H.H.S.[Horace Ho Shing],
Kwong, S.[Sam],
Replay Without Saving: Prototype Derivation and Distribution
Rebalance for Class-Incremental Semantic Segmentation,
PAMI(47), No. 6, June 2025, pp. 4699-4716.
IEEE DOI
2505
class-incremental semantic segmentation.
Prototypes, Training, Feature extraction, Semantic segmentation, Stars,
Semantics, Vectors, Transformers, Image reconstruction, distribution rebalance
BibRef
Ge, J.C.[Jin-Chao],
Zhang, B.[Bowen],
Liu, A.[Akide],
Phan, V.M.H.[Vu Minh Hieu],
Chen, Q.[Qi],
Shu, Y.Y.[Yang-Yang],
Zhao, Y.[Yang],
CIT: Rethinking class-incremental semantic segmentation with a Class
Independent Transformation,
PR(167), 2025, pp. 111707.
Elsevier DOI
2506
Class-incremental semantic segmentation,
Catastrophic forgetting, Class Independent Transformation, Continual learning
BibRef
Ravishankar, H.[Hariharan],
Paluru, N.[Naveen],
Sudhakar, P.[Prasad],
Yalavarthy, P.K.[Phaneendra K.],
Information Geometric Approaches for Patient-Specific Test-Time
Adaptation of Deep Learning Models for Semantic Segmentation,
MedImg(44), No. 6, June 2025, pp. 2553-2567.
IEEE DOI
2506
Adaptation models, Biomedical imaging, Training, Artificial intelligence,
Semantic segmentation, Data models, generalization
BibRef
Zhang, M.[Meng],
Guo, Y.[Yina],
Wang, H.D.[Hai-Dong],
Shangguan, H.[Hong],
AODGCN: Adaptive object detection with attention-guided dynamic graph
convolutional network,
CVIU(258), 2025, pp. 104386.
Elsevier DOI
2506
Object detection, Image classification, Graphs,
Attention mechanism, Graph convolutional network
BibRef
Liang, Z.C.[Zi-Chen],
Hu, Y.[Yusong],
Yang, F.[Fei],
Liu, X.L.[Xia-Lei],
Enhancing Continual Semantic Segmentation via Uncertainty and Class
Balance Re-Weighting,
IP(34), 2025, pp. 3689-3702.
IEEE DOI Code:
WWW Link.
2507
Uncertainty, Semantic segmentation, Adaptation models, Training, Data models,
Computational modeling, Entropy, Continuing education, uncertainty
BibRef
Zhang, Z.[Zhe],
Wu, G.[Gaochang],
Zhang, J.[Jing],
Zhu, X.T.[Xia-Tian],
Tao, D.C.[Da-Cheng],
Chai, T.Y.[Tian-You],
Unified Domain Adaptive Semantic Segmentation,
PAMI(47), No. 8, August 2025, pp. 6731-6748.
IEEE DOI
2507
Videos, Semantics, Optical flow, Training, Adaptation models,
Transformers, Optical mixing, Artificial intelligence, domain mixup
BibRef
Yuan, B.[Bo],
Zhao, D.[Danpei],
Shi, Z.W.[Zhen-Wei],
Learning at a Glance: Towards Interpretable Data-Limited Continual
Semantic Segmentation via Semantic-Invariance Modelling,
PAMI(46), No. 12, December 2024, pp. 7909-7923.
IEEE DOI
2411
Semantics, Data models, Task analysis, Training,
Semantic segmentation, Computational modeling, Solids,
disentangled distillation
BibRef
Cong, W.[Wei],
Cong, Y.[Yang],
Ren, Y.[Yu],
Lightweight Class Incremental Semantic Segmentation Without
Catastrophic Forgetting,
IP(34), 2025, pp. 4566-4579.
IEEE DOI
2508
Filters, Computational modeling, Semantic segmentation, Semantics, Decoding,
Incremental learning, Performance evaluation, Training, soft labels
BibRef
Zhang, S.Z.[Shi-Zhou],
Lv, X.Q.[Xue-Qiang],
Xing, Y.H.[Ying-Hui],
Wu, Q.[Qirui],
Xu, D.[Di],
Zhang, Y.N.[Yan-Ning],
Revisiting Generative Replay for Class Incremental Object Detection,
CVPR25(20340-20349)
IEEE DOI Code:
WWW Link.
2508
Bridges, Training, Location awareness, Refining, Object detection,
Detectors, Diffusion models, Sampling methods, Standards,
generative model
BibRef
Wang, K.Y.[Kun-Yu],
Fu, X.[Xueyang],
Lu, X.[Xin],
Ge, C.J.[Cheng-Jie],
Cao, C.Z.[Cheng-Zhi],
Zhai, W.[Wei],
Zha, Z.J.[Zheng-Jun],
Efficient Test-Time Adaptive Object Detection via Sensitivity-Guided
Pruning,
CVPR25(10577-10586)
IEEE DOI
2508
Sensitivity, Focusing, Object detection, Detectors,
Benchmark testing, Image restoration, Computational efficiency,
computational efficiency
BibRef
Li, H.C.[Hao-Chen],
Zhang, R.[Rui],
Yao, H.T.[Han-Tao],
Zhang, X.[Xin],
Hao, Y.F.[Yi-Fan],
Song, X.[Xinkai],
Peng, S.H.[Shao-Hui],
Zhao, Y.W.[Yong-Wei],
Zhao, C.[Chen],
Wu, Y.J.[Yan-Jun],
Li, L.[Ling],
SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain
Adaptive Object Detection,
CVPR25(25465-25475)
IEEE DOI
2508
Visualization, Semantics, Object detection, Detectors,
Benchmark testing, Feature extraction, Entropy, Data mining,
transfer learning
BibRef
Fu, Y.X.[Yun-Xiang],
Lou, M.[Meng],
Yu, Y.Z.[Yi-Zhou],
SegMAN: Omni-scale Context Modeling with State Space Models and Local
Attention for Semantic Segmentation,
CVPR25(19077-19087)
IEEE DOI Code:
WWW Link.
2508
Adaptation models, Semantic segmentation, Computational modeling,
Feature extraction, Encoding, Decoding, Spatial resolution,
dynamic state space model
BibRef
Zhang, X.[Xin],
Tan, R.T.[Robby T.],
Mamba as a Bridge: Where Vision Foundation Models Meet Vision
Language Models for Domain-Generalized Semantic Segmentation,
CVPR25(14527-14537)
IEEE DOI Code:
WWW Link.
2508
Location awareness, Foundation models, Semantic segmentation,
Computational modeling, Scalability, Benchmark testing, Robustness,
foundation model
BibRef
Fang, K.[Kai],
Zhang, A.[Anqi],
Gao, G.Y.[Guang-Yu],
Jiao, J.B.[Jian-Bo],
Liu, C.H.[Chi Harold],
Wei, Y.C.[Yun-Chao],
CoMBO: Conflict Mitigation via Branched Optimization for Class
Incremental Segmentation,
CVPR25(25667-25676)
IEEE DOI Code:
WWW Link.
2508
Adaptation models, Prevention and mitigation, Semantic segmentation,
Computational modeling, Optimization, knowledge distillation
BibRef
Zhao, D.[Dong],
Li, J.L.[Jin-Long],
Wang, S.[Shuang],
Wu, M.Y.[Meng-Yao],
Zang, Q.[Qi],
Sebe, N.[Nicu],
Zhong, Z.[Zhun],
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models
for Domain Generalized Segmentation,
CVPR25(15043-15054)
IEEE DOI
2508
Sensitivity, Foundation models, Semantic segmentation, Estimation, Tuning
BibRef
Lavoie, M.A.[Marc-Antoine],
Mahmoud, A.[Anas],
Waslander, S.L.[Steven L.],
Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object
Detection,
CVPR25(4692-4702)
IEEE DOI Code:
WWW Link.
2508
Training, Couplings, Adaptation models, Feedback loop, Accuracy, Head,
Object detection, Feature extraction, Standards, domain adaptation,
vision foundation models
BibRef
Basak, H.[Hritam],
Yin, Z.Z.[Zhao-Zheng],
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language
Guidance for Semantic Segmentation,
CVPR25(9816-9828)
IEEE DOI
2508
Representation learning, Visualization,
Heavily-tailed distribution, Semantic segmentation, Semantics,
image segmentation
BibRef
Choe, S.A.[Seun-An],
Park, K.H.[Keon-Hee],
Choi, J.[Jinwoo],
Park, G.M.[Gyeong-Moon],
Universal Domain Adaptation for Semantic Segmentation,
CVPR25(4607-4617)
IEEE DOI Code:
WWW Link.
2508
Degradation, Codes, Semantic segmentation, Image matching,
Prototypes, Benchmark testing, domain adaptation, semantic segmentatin
BibRef
Belal, A.[Atif],
Meethal, A.[Akhil],
Romero, F.P.[Francisco Perdigon],
Pedersoli, M.[Marco],
Granger, E.[Eric],
Attention-Based Class-Conditioned Alignment for Multi-Source Domain
Adaptation of Object Detectors,
WACV25(8566-8575)
IEEE DOI Code:
WWW Link.
2505
Codes, Attention mechanisms, Object detection, Detectors,
Benchmark testing, Feature extraction, Robustness, Data models,
attention
BibRef
Liang, C.[Chen],
Chen, W.H.[Wei-Hua],
Zhao, X.[Xin],
Wang, J.[Junyan],
Cao, L.J.[Li-Jun],
Zhang, J.[Junge],
Distribution Optimization Under Gaussian Hypothesis for Domain
Adaptive Semantic Segmentation,
WACV25(9280-9290)
IEEE DOI
2505
Training, Adaptation models, Semantic segmentation, Semantics,
Transfer learning, Contrastive learning, Gaussian distribution,
Image classification
BibRef
Tejero, J.G.[Javier Gamazo],
Schmid, M.[Moritz],
Neila, P.M.[Pablo Márquez],
Zinkernagel, M.S.[Martin S.],
Wolf, S.[Sebastian],
Sznitman, R.[Raphael],
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation,
WACV25(6775-6784)
IEEE DOI
2505
Training, Adaptation models, Computational modeling,
Semantic segmentation, Magnetic resonance imaging, Decoding, segmentation
BibRef
Deregnaucourt, L.[Lucas],
Laghmara, H.[Hind],
Lechervy, A.[Alexis],
Ainouz, S.[Samia],
A Conflict-Guided Evidential Multimodal Fusion for Semantic
Segmentation,
WACV25(1373-1382)
IEEE DOI Code:
WWW Link.
2505
Resistance, Hands, Image analysis, Semantic segmentation,
Biological system modeling, Roads, Computational modeling,
dempster-shafer theory
BibRef
Wan, Z.F.[Zi-Fu],
Zhang, P.P.[Ping-Ping],
Wang, Y.H.[Yu-Hao],
Yong, S.[Silong],
Stepputtis, S.[Simon],
Sycara, K.[Katia],
Xie, Y.Q.[Ya-Qi],
Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation,
WACV25(1734-1744)
IEEE DOI Code:
WWW Link.
2505
Costs, Semantic segmentation, Computer network reliability,
Feature extraction, Transformers, Complexity theory, Decoding,
state space models
BibRef
Verma, S.[Sachin],
Lindseth, F.[Frank],
Kiss, G.[Gabriel],
SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with
Geo-Coordinate Embeddings for Domain Adaptation,
WACV25(9093-9104)
IEEE DOI
2505
Earth, Training, Adaptation models, Semantic segmentation,
Computational modeling, Scalability, Semantics, Predictive models,
Remote sensing
BibRef
Khanh, T.L.B.[Trinh Le Ba],
Nguyen, H.H.[Huy-Hung],
Pham, L.H.[Long Hoang],
Tran, D.N.N.[Duong Nguyen-Ngoc],
Jeon, J.W.[Jae Wook],
Dynamic Retraining-Updating Mean Teacher for Source-Free Object
Detection,
ECCV24(LII: 328-344).
Springer DOI
2412
Code:
WWW Link.
BibRef
Pak, B.[Byeonghyun],
Woo, B.J.[Byeong-Ju],
Kim, S.[Sunghwan],
Kim, D.H.[Dae-Hwan],
Kim, H.[Hoseong],
Textual Query-driven Mask Transformer for Domain Generalized
Segmentation,
ECCV24(LVII: 37-54).
Springer DOI
2412
BibRef
Yang, L.Y.[Lin-Yan],
Hoyer, L.[Lukas],
Weber, M.[Mark],
Fischer, T.[Tobias],
Dai, D.X.[Deng-Xin],
Leal-Taixé, L.[Laura],
Pollefeys, M.[Marc],
Cremers, D.[Daniel],
Van Gool, L.J.[Luc J.],
Micdrop: Masking Image and Depth Features via Complementary Dropout for
Domain-adaptive Semantic Segmentation,
ECCV24(XXXIX: 329-346).
Springer DOI
2412
BibRef
Gao, Y.[Yuan],
Wang, Z.[Zilei],
Zhang, Y.X.[Yi-Xin],
Tu, B.[Bohai],
Efficient Active Domain Adaptation for Semantic Segmentation by
Selecting Information-rich Superpixels,
ECCV24(XXXIV: 405-421).
Springer DOI
2412
BibRef
Moradinasab, N.[Nazanin],
Jafarzadeh, H.[Hassan],
Brown, D.E.[Donald E.],
Gengmm: Generalized Gaussian-Mixture-Based Domain Adaptation Model
for Semantic Segmentation,
ICIP24(1078-1084)
IEEE DOI
2411
Bridges, Adaptation models, Semantic segmentation,
Predictive models, Data models, Noise measurement, GMM
BibRef
Lee, B.[Bokyeung],
Ko, K.[Kyungdeuk],
Hong, J.[Jonghwan],
Ko, H.S.[Han-Seok],
Prune Channel and Distill: Discriminative Knowledge Distillation for
Semantic Segmentation,
ICIP24(339-345)
IEEE DOI
2411
Knowledge engineering, Analytical models, Semantic segmentation,
Semantics, Benchmark testing, Semantic segmentation, pruning
BibRef
Yoo, J.[Jayeon],
Lee, D.[Dongkwan],
Chung, I.[Inseop],
Kim, D.H.[Dong-Hyun],
Kwak, N.[Nojun],
What, How, and When Should Object Detectors Update in Continually
Changing Test Domains?,
CVPR24(23354-23363)
IEEE DOI Code:
WWW Link.
2410
Adaptation models, Object detection, Detectors,
Transformers, Feature extraction, Object Detection
BibRef
Kennerley, M.[Mikhail],
Wang, J.G.[Jian-Gang],
Veeravalli, B.[Bharadwaj],
Tan, R.T.[Robby T.],
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object
Detection,
CVPR24(16541-16550)
IEEE DOI
2410
Training, Adaptation models, Object detection, Data models,
Domain Adaptation, Object Detection, Mean-Teacher
BibRef
Ruan, X.Q.[Xiao-Qian],
Tang, W.[Wei],
Fully Test-time Adaptation for Object Detection,
MAT24(1038-1047)
IEEE DOI Code:
WWW Link.
2410
Training, Codes, Training data, Detectors, Object detection,
test-time adaptation, pseudo-label selection, duplicate detections removal
BibRef
Danish, M.S.[Muhammad Sohail],
Khan, M.H.[Muhammad Haris],
Munir, M.A.[Muhammad Akhtar],
Sarfraz, M.S.[M. Saquib],
Ali, M.[Mohsen],
Improving Single Domain-Generalized Object Detection:
A Focus on Diversification and Alignment,
CVPR24(17732-17742)
IEEE DOI Code:
WWW Link.
2410
Location awareness, Training, Accuracy, Decision making, Focusing,
Detectors, Domain-Generalized Object Detection, object detection,
domain generlization
BibRef
Zhao, H.[Haimei],
Zhang, J.[Jing],
Chen, Z.[Zhuo],
Zhao, S.S.[Shan-Shan],
Tao, D.C.[Da-Cheng],
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic
Segmentation in Adverse Weather,
CVPR24(14781-14791)
IEEE DOI
2410
Bridges, Adaptation models, Laser radar, Semantic segmentation,
Semantics, Robustness, LiDAR semantic segmentation,
adverse-weather perception
BibRef
Liu, Y.J.[Ya-Jing],
Zhou, S.J.[Shi-Jun],
Liu, X.[Xiyao], o
Hao, C.H.[Chun-Hui],
Fan, B.J.[Bao-Jie],
Tian, J.D.[Jian-Dong],
Unbiased Faster R-CNN for Single-source Domain Generalized Object
Detection,
CVPR24(28838-28847)
IEEE DOI
2410
Representation learning, Analytical models, Prototypes,
Object detection, Feature extraction, Data augmentation,
Object detection
BibRef
Udupa, S.[Sumanth],
Gurunath, P.[Prajwal],
Sikdar, A.[Aniruddh],
Sundaram, S.[Suresh],
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real
with Multi-Resolution Feature Perturbation,
CVPR24(5904-5914)
IEEE DOI Code:
WWW Link.
2410
Training, Perturbation methods, Semantic segmentation,
Computational modeling, Semantics, Artificial neural networks
BibRef
Mercea, O.B.[Otniel-Bogdan],
Gritsenko, A.[Alexey],
Schmid, C.[Cordelia],
Arnab, A.[Anurag],
Time-, Memory- and Parameter-Efficient Visual Adaptation,
CVPR24(5536-5545)
IEEE DOI Code:
WWW Link.
2410
Training, Adaptation models, Visualization, Scalability,
Memory management, Graphics processing units, deep learning
BibRef
Ma, J.[Jing],
Improved Self-Training for Test-Time Adaptation,
CVPR24(23701-23710)
IEEE DOI
2410
Adaptation models, Semantic segmentation, Face recognition,
Object detection, Benchmark testing, Data models,
Improved Self-Training
BibRef
Reichert, H.[Hannes],
Hetzel, M.[Manuel],
Hubert, A.[Andreas],
Doll, K.[Konrad],
Sick, B.[Bernhard],
Sensor Equivariance: A Framework for Semantic Segmentation with
Diverse Camera Models,
OmniCV24(1254-1261)
IEEE DOI
2410
Convolution, Semantic segmentation, Cameras, Distortion, Data processing
BibRef
Shah, U.[Uzair],
Tukur, M.[Muhammad],
Alzubaidi, M.[Mahmood],
Pintore, G.[Giovanni],
Gobbetti, E.[Enrico],
Househ, M.[Mowafa],
Schneider, J.[Jens],
Agus, M.[Marco],
MultiPanoWise: holistic deep architecture for multi-task dense
prediction from a single panoramic image,
OmniCV24(1311-1321)
IEEE DOI
2410
Training, Reflectivity, Semantic segmentation, Estimation,
Multitasking, multi-task learning,
indoor environments
BibRef
Costain, T.W.[Theo W.],
Li, K.[Kejie],
Prisacariu, V.A.[Victor A.],
Contextualising Implicit Representations for Semantic Tasks,
NERF24(877-887)
IEEE DOI
2410
Training, Semantic segmentation, Semantics, Training data, Encoding
BibRef
Gérin, B.[Benoît],
Halin, A.[Anaïs],
Cioppa, A.[Anthony],
Henry, M.[Maxim],
Ghanem, B.[Bernard],
Macq, B.[Benoît],
de Vleeschouwer, C.[Christophe],
van Droogenbroeck, M.[Marc],
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models
Evolving in Dynamic Environments,
WAD24(4472-4482)
IEEE DOI
2410
Adaptation models, Computational modeling, Semantic segmentation,
Benchmark testing, Real-time systems, Internet of Things, Vehicle dynamics
BibRef
Wei, Z.X.[Zhi-Xiang],
Chen, L.[Lin],
Jin, Y.[Yi],
Ma, X.X.[Xiao-Xiao],
Liu, T.[Tianle],
Ling, P.Y.[Peng-Yang],
Wang, B.[Ben],
Chen, H.[Huaian],
Zheng, J.J.[Jin-Jin],
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for
Domain Generalized Semantic Segmentation,
CVPR24(28619-28630)
IEEE DOI Code:
WWW Link.
2410
Training, Codes, Semantic segmentation,
Vision Foundation Models, Semantic Segmentation
BibRef
Cho, S.[Seokju],
Shin, H.[Heeseong],
Hong, S.[Sunghwan],
Arnab, A.[Anurag],
Seo, P.H.[Paul Hongsuck],
Kim, S.[Seungryong],
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation,
CVPR24(4113-4123)
IEEE DOI
2410
Costs, Semantic segmentation, Aggregates, Buildings,
Benchmark testing, Semantic Segmentation,
Multi-modal Learning
BibRef
Ahn, W.J.[Woo-Jin],
Yang, G.Y.[Geun-Yeong],
Choi, H.D.[Hyun-Duck],
Lim, M.T.[Myo-Taeg],
Style Blind Domain Generalized Semantic Segmentation via Covariance
Alignment and Semantic Consistence Contrastive Learning,
CVPR24(3616-3626)
IEEE DOI Code:
WWW Link.
2410
Degradation, Training, Semantic segmentation, Soft sensors,
Semantics, Contrastive learning, Predictive models,
Deep learning
BibRef
Benigmim, Y.[Yasser],
Roy, S.[Subhankar],
Essid, S.[Slim],
Kalogeiton, V.[Vicky],
Lathuilière, S.[Stéphane],
Collaborating Foundation Models for Domain Generalized Semantic
Segmentation,
CVPR24(3108-3119)
IEEE DOI Code:
WWW Link.
2410
Training, Adaptation models, Semantic segmentation, Clouds,
Collaboration, Predictive models, Benchmark testing, Deep Learning
BibRef
Wysoczanska, M.[Monika],
Ramamonjisoa, M.[Michaël],
Trzcinski, T.[Tomasz],
Siméoni, O.[Oriane],
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic
Segmentation For-Free,
WACV24(1392-1402)
IEEE DOI
2404
Location awareness, Training, Annotations, Semantic segmentation,
Aggregates, Semantics, Algorithms,
Vision + language and/or other modalities
BibRef
Belal, A.[Atif],
Meethal, A.[Akhil],
Romero, F.P.[Francisco Perdigon],
Pedersoli, M.[Marco],
Granger, E.[Eric],
Multi-Source Domain Adaptation for Object Detection with
Prototype-based Mean Teacher,
WACV24(1266-1275)
IEEE DOI Code:
WWW Link.
2404
Visualization, Codes, Memory management, Prototypes,
Object detection, Detectors, Algorithms,
Vision + language and/or other modalities
BibRef
Niemeijer, J.[Joshua],
Schwonberg, M.[Manuel],
Termöhlen, J.A.[Jan-Aike],
Schmidt, N.M.[Nico M.],
Fingscheidt, T.[Tim],
Generalization by Adaptation: Diffusion-Based Domain Extension for
Domain-Generalized Semantic Segmentation,
WACV24(2818-2828)
IEEE DOI Code:
WWW Link.
2404
Training, Adaptation models, Microwave integrated circuits, Codes,
Semantic segmentation, Training data, Algorithms,
Image recognition and understanding
BibRef
Liu, Q.P.[Qi-Peng],
Lin, L.J.[Luo-Jun],
Shen, Z.F.[Zhi-Feng],
Yang, Z.F.[Zhi-Feng],
Periodically Exchange Teacher-Student for Source-Free Object
Detection,
ICCV23(6391-6401)
IEEE DOI
2401
BibRef
Zhao, Z.J.[Zi-Jing],
Wei, S.[Sitong],
Chen, Q.C.[Qing-Chao],
Li, D.[Dehui],
Yang, Y.F.[Yi-Fan],
Peng, Y.X.[Yu-Xin],
Liu, Y.[Yang],
Masked Retraining Teacher-Student Framework for Domain Adaptive
Object Detection,
ICCV23(18993-19003)
IEEE DOI Code:
WWW Link.
2401
BibRef
Gao, C.L.[Chang-Long],
Liu, C.X.[Cheng-Xu],
Dun, Y.J.[Yu-Jie],
Qian, X.M.[Xue-Ming],
CSDA: Learning Category-Scale Joint Feature for Domain Adaptive
Object Detection,
ICCV23(11387-11396)
IEEE DOI
2401
BibRef
Termöhlen, J.A.[Jan-Aike],
Bartels, T.[Timo],
Fingscheidt, T.[Tim],
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized
Semantic Segmentation,
OutDistri23(4378-4387)
IEEE DOI
2401
BibRef
Yao, D.[Dongyu],
Li, B.[Boheng],
Dual-level Interaction for Domain Adaptive Semantic Segmentation,
Uncertainty23(4529-4538)
IEEE DOI Code:
WWW Link.
2401
BibRef
Alcover-Couso, R.[Roberto],
San Miguel, J.C.[Juan C.],
Escudero-Viñolo, M.[Marcos],
Biased Class disagreement: detection of out of distribution instances
by using differently biased semantic segmentation models,
Uncertainty23(4582-4590)
IEEE DOI
2401
BibRef
Khandelwal, A.[Anant],
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain
Adaptive Semantic Segmentation,
JRDB23(2150-2160)
IEEE DOI
2401
BibRef
Huo, X.Y.[Xin-Yue],
Xie, L.X.[Ling-Xi],
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
Tian, Q.[Qi],
Focus on Your Target: A Dual Teacher-Student Framework for
Domain-adaptive Semantic Segmentation,
ICCV23(18981-18992)
IEEE DOI Code:
WWW Link.
2401
BibRef
Peng, D.[Duo],
Hu, P.[Ping],
Ke, Q.H.[Qiu-Hong],
Liu, J.[Jun],
Diffusion-based Image Translation with Label Guidance for Domain
Adaptive Semantic Segmentation,
ICCV23(808-820)
IEEE DOI
2401
BibRef
Chang, S.J.[Shu-Jung],
Lu, C.Y.[Chen-Yu],
Huang, P.K.[Pei-Kai],
Hsu, C.T.[Chiou-Ting],
Single-Domain Generalization for Semantic Segmentation Via Dual-Level
Domain Augmentation,
ICIP23(2335-2339)
IEEE DOI
2312
BibRef
Lu, P.J.[Peggy Joy],
Jui, C.Y.[Chia-Yung],
Chuang, J.H.[Jen-Hui],
A Privacy-Preserving Approach for Multi-Source Domain Adaptive Object
Detection,
ICIP23(1075-1079)
IEEE DOI
2312
BibRef
Li, G.[Gang],
Zhang, Q.F.[Qi-Fei],
Wang, P.Z.[Pei-Zheng],
He, R.[Rui],
Wu, C.[Chao],
Target-Discriminability-Induced Multi-Source-Free Domain Adaptation,
ICIP23(76-80)
IEEE DOI
2312
BibRef
Ma, Y.Q.[Yu-Qing],
Li, H.N.[Hai-Nan],
Zhang, Z.[Zhange],
Guo, J.Y.[Jin-Yang],
Zhang, S.H.[Shang-Hang],
Gong, R.H.[Rui-Hao],
Liu, X.L.[Xiang-Long],
Annealing-based Label-Transfer Learning for Open World Object
Detection,
CVPR23(11454-11463)
IEEE DOI
2309
BibRef
Jain, J.[Jitesh],
Li, J.C.[Jia-Chen],
Chiu, M.[MangTik],
Hassani, A.[Ali],
Orlov, N.[Nikita],
Shi, H.[Humphrey],
OneFormer: One Transformer to Rule Universal Image Segmentation,
CVPR23(2989-2998)
IEEE DOI
2309
BibRef
Li, F.[Feng],
Zhang, H.[Hao],
Xu, H.Z.[Huai-Zhe],
Liu, S.L.[Shi-Long],
Zhang, L.[Lei],
Ni, L.M.[Lionel M.],
Shum, H.Y.[Heung-Yeung],
Mask DINO: Towards A Unified Transformer-based Framework for Object
Detection and Segmentation,
CVPR23(3041-3050)
IEEE DOI
2309
BibRef
Gao, Y.P.[Yi-Peng],
Lin, K.Y.[Kun-Yu],
Yan, J.K.[Jun-Kai],
Wang, Y.W.[Yao-Wei],
Zheng, W.S.[Wei-Shi],
AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain
Adaptive Object Detection,
CVPR23(3261-3271)
IEEE DOI
2309
BibRef
Ding, J.[Jian],
Xue, N.[Nan],
Xia, G.S.[Gui-Song],
Schiele, B.[Bernt],
Dai, D.X.[Deng-Xin],
HGFormer: Hierarchical Grouping Transformer for Domain Generalized
Semantic Segmentation,
CVPR23(15413-15423)
IEEE DOI
2309
BibRef
Lo, S.Y.[Shao-Yuan],
Oza, P.[Poojan],
Chennupati, S.[Sumanth],
Galindo, A.[Alejandro],
Patel, V.M.[Vishal M.],
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free
Domain Adaptation for Video Semantic Segmentation,
CVPR23(10534-10543)
IEEE DOI
2309
BibRef
Hajimiri, S.[Sina],
Boudiaf, M.[Malik],
Ayed, I.B.[Ismail Ben],
Dolz, J.[Jose],
A Strong Baseline for Generalized Few-Shot Semantic Segmentation,
CVPR23(11269-11278)
IEEE DOI
2309
BibRef
He, S.T.[Shu-Ting],
Ding, H.H.[Heng-Hui],
Jiang, W.[Wei],
Primitive Generation and Semantic-Related Alignment for Universal
Zero-Shot Segmentation,
CVPR23(11238-11247)
IEEE DOI
2309
BibRef
Zhao, D.[Dong],
Wang, S.[Shuang],
Zang, Q.[Qi],
Quan, D.[Dou],
Ye, X.[Xiutiao],
Jiao, L.C.[Li-Cheng],
Towards Better Stability and Adaptability: Improve Online
Self-Training for Model Adaptation in Semantic Segmentation,
CVPR23(11733-11743)
IEEE DOI
2309
BibRef
Liu, S.A.[Sun-Ao],
Zhang, Y.H.[Yi-Heng],
Qiu, Z.F.[Zhao-Fan],
Xie, H.T.[Hong-Tao],
Zhang, Y.D.[Yong-Dong],
Yao, T.[Ting],
Learning Orthogonal Prototypes for Generalized Few-Shot Semantic
Segmentation,
CVPR23(11319-11328)
IEEE DOI
2309
BibRef
Shen, F.Y.[Feng-Yi],
Gurram, A.[Akhil],
Liu, Z.Y.[Zi-Yuan],
Wang, H.[He],
Knoll, A.[Alois],
DiGA: Distil to Generalize and then Adapt for Domain Adaptive
Semantic Segmentation,
CVPR23(15866-15877)
IEEE DOI
2309
BibRef
Kalb, T.[Tobias],
Beyerer, J.[Jürgen],
Principles of Forgetting in Domain-Incremental Semantic Segmentation
in Adverse Weather Conditions,
CVPR23(19508-19518)
IEEE DOI
2309
BibRef
Cardace, A.[Adriano],
Ramirez, P.Z.[Pierluigi Zama],
Salti, S.[Samuele],
Stefano, L.D.[Luigi Di],
Exploiting the Complementarity of 2D and 3D Networks to Address
Domain-Shift in 3D Semantic Segmentation,
WAD23(98-109)
IEEE DOI
2309
BibRef
Vidit, V.[Vidit],
Engilberge, M.[Martin],
Salzmann, M.[Mathieu],
CLIP the Gap: A Single Domain Generalization Approach for Object
Detection,
CVPR23(3219-3229)
IEEE DOI
2309
BibRef
Cao, S.C.[Sheng-Cao],
Joshi, D.[Dhiraj],
Gui, L.Y.[Liang-Yan],
Wang, Y.X.[Yu-Xiong],
Contrastive Mean Teacher for Domain Adaptive Object Detectors,
CVPR23(23839-23848)
IEEE DOI
2309
BibRef
Shang, C.[Chao],
Li, H.L.[Hong-Liang],
Meng, F.M.[Fan-Man],
Wu, Q.B.[Qing-Bo],
Qiu, H.Q.[He-Qian],
Wang, L.X.[Lan-Xiao],
Incrementer: Transformer for Class-Incremental Semantic Segmentation
with Knowledge Distillation Focusing on Old Class,
CVPR23(7214-7224)
IEEE DOI
2309
BibRef
Dong, J.H.[Jia-Hua],
Zhang, D.[Duzhen],
Cong, Y.[Yang],
Cong, W.[Wei],
Ding, H.H.[Heng-Hui],
Dai, D.X.[Deng-Xin],
Federated Incremental Semantic Segmentation,
CVPR23(3934-3943)
IEEE DOI
2309
BibRef
Zhu, L.[Lanyun],
Chen, T.R.[Tian-Run],
Yin, J.X.[Jian-Xiong],
See, S.[Simon],
Liu, J.[Jun],
Continual Semantic Segmentation with Automatic Memory Sample
Selection,
CVPR23(3082-3092)
IEEE DOI
2309
BibRef
Huang, W.[Wei],
Chen, C.[Chang],
Li, Y.[Yong],
Li, J.C.[Jia-Cheng],
Li, C.[Cheng],
Song, F.[Fenglong],
Yan, Y.L.[You-Liang],
Xiong, Z.W.[Zhi-Wei],
Style Projected Clustering for Domain Generalized Semantic
Segmentation,
CVPR23(3061-3071)
IEEE DOI
2309
BibRef
Zhang, H.[Hao],
Zhang, R.M.[Rui-Mao],
Active Domain Adaptation with Multi-level Contrastive Units for
Semantic Segmentation,
ACCV22(VII:448-464).
Springer DOI
2307
BibRef
VS, V.[Vibashan],
Oza, P.[Poojan],
Patel, V.M.[Vishal M.],
Towards Online Domain Adaptive Object Detection,
WACV23(478-488)
IEEE DOI
2302
Training, Representation learning, Adaptation models,
Visualization, Source coding, Object detection, Detectors
BibRef
Agarwal, S.[Sharat],
Anand, S.[Saket],
Arora, C.[Chetan],
Reducing Annotation Effort by Identifying and Labeling Contextually
Diverse Classes for Semantic Segmentation Under Domain Shift,
WACV23(5893-5902)
IEEE DOI
2302
Training, Costs, Uncertainty, Annotations, Semantic segmentation,
Measurement uncertainty,
Visualization
BibRef
Xiao, J.W.[Jia-Wen],
Zhang, C.B.[Chang-Bin],
Feng, J.K.[Jie-Kang],
Liu, X.L.[Xia-Lei],
van de Weijer, J.[Joost],
Cheng, M.M.[Ming-Ming],
Endpoints Weight Fusion for Class Incremental Semantic Segmentation,
CVPR23(7204-7213)
IEEE DOI
2309
BibRef
Goswami, D.[Dipam],
Schuster, R.[René],
van de Weijer, J.[Joost],
Stricker, D.[Didier],
Attribution-aware Weight Transfer: A Warm-Start Initialization for
Class-Incremental Semantic Segmentation,
WACV23(3194-3203)
IEEE DOI
2302
Semantic segmentation, Semantics, Deep architecture,
Algorithms: Machine learning architectures, formulations,
visual reasoning)
BibRef
Piérard, S.[Sébastien],
Cioppa, A.[Anthony],
Halin, A.[Anaïs],
Vandeghen, R.[Renaud],
Zanella, M.[Maxime],
Macq, B.[Benoît],
Mahmoudi, S.[Saïd],
van Droogenbroeck, M.[Marc],
Mixture Domain Adaptation to Improve Semantic Segmentation in
Real-World Surveillance,
RealWorld23(1-10)
IEEE DOI
2302
Adaptation models, Machine learning algorithms, Surveillance,
Semantic segmentation, Computational modeling, Machine learning,
Probabilistic logic
BibRef
Maurya, J.[Jitender],
Ranipa, K.R.[Keyur R.],
Yamaguchi, O.[Osamu],
Shibata, T.[Tomoyuki],
Kobayashi, D.[Daisuke],
Domain Adaptation using Self-Training with Mixup for One-Stage Object
Detection,
WACV23(4178-4187)
IEEE DOI
2302
Adaptation models, Detectors, Object detection, Benchmark testing,
Predictive models, Feature extraction.
BibRef
Liang, J.M.[Jian-Ming],
Song, G.L.[Guang-Lu],
Leng, B.[Biao],
Liu, Y.[Yu],
Unifying Visual Perception by Dispersible Points Learning,
ECCV22(IX:439-456).
Springer DOI
2211
WWW Link.
BibRef
Fan, Q.[Qi],
Pei, W.J.[Wen-Jie],
Tai, Y.W.[Yu-Wing],
Tang, C.K.[Chi-Keung],
Self-support Few-Shot Semantic Segmentation,
ECCV22(XIX:701-719).
Springer DOI
2211
BibRef
Wu, Z.Y.[Zhen-Yao],
Wu, X.[Xinyi],
Zhang, X.P.[Xiao-Ping],
Ju, L.[Lili],
Wang, S.[Song],
SiamDoGe:
Domain Generalizable Semantic Segmentation Using Siamese Network,
ECCV22(XXXVIII:603-620).
Springer DOI
2211
BibRef
Hoyer, L.[Lukas],
Dai, D.X.[Deng-Xin],
Van Gool, L.J.[Luc J.],
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic
Segmentation,
ECCV22(XXX:372-391).
Springer DOI
2211
BibRef
Lai, X.[Xin],
Tian, Z.T.[Zhuo-Tao],
Xu, X.G.[Xiao-Gang],
Chen, Y.C.[Ying-Cong],
Liu, S.[Shu],
Zhao, H.S.[Heng-Shuang],
Wang, L.W.[Li-Wei],
Jia, J.Y.[Jia-Ya],
DecoupleNet: Decoupled Network for Domain Adaptive Semantic
Segmentation,
ECCV22(XXXIII:369-387).
Springer DOI
2211
BibRef
Lyu, S.C.[Shu-Chang],
Liu, B.H.[Bing-Hao],
Chen, L.J.[Li-Jiang],
Zhao, Q.[Qi],
A Similarity Distillation Guided Feature Refinement Network for
Few-Shot Semantic Segmentation,
ICIP22(666-670)
IEEE DOI
2211
Visualization, Prototypes, Benchmark testing, Task analysis,
Feature consistency, knowledge distillation, feature refinement,
few-shot semantic segmentation
BibRef
Park, J.[Jinyoung],
Son, M.[Minseok],
Lee, S.[Sumin],
Kim, C.[Changick],
DAT: Domain Adaptive Transformer for Domain Adaptive Semantic
Segmentation,
ICIP22(4183-4187)
IEEE DOI
2211
Training, Adaptive systems, Annotations, Benchmark testing,
Transformers, Reliability, Noise measurement
BibRef
Jiang, Z.K.[Zheng-Kai],
Li, Y.X.[Yu-Xi],
Yang, C.[Ceyuan],
Gao, P.[Peng],
Wang, Y.B.[Ya-Biao],
Tai, Y.[Ying],
Wang, C.J.[Cheng-Jie],
Prototypical Contrast Adaptation for Domain Adaptive Semantic
Segmentation,
ECCV22(XXXIV:36-54).
Springer DOI
2211
BibRef
Zhao, H.[Hanbin],
Yang, F.Y.[Feng-Yu],
Fu, X.[Xinghe],
Li, X.[Xi],
RBC: Rectifying the Biased Context in Continual Semantic Segmentation,
ECCV22(XXXIV:55-72).
Springer DOI
2211
BibRef
Panagiotakopoulos, T.[Theodoros],
Dovesi, P.L.[Pier Luigi],
Härenstam-Nielsen, L.[Linus],
Poggi, M.[Matteo],
Online Domain Adaptation for Semantic Segmentation in Ever-Changing
Conditions,
ECCV22(XXXIV:128-146).
Springer DOI
2211
BibRef
Lee, G.[Geon],
Eom, C.[Chanho],
Lee, W.[Wonkyung],
Park, H.[Hyekang],
Ham, B.[Bumsub],
Bi-directional Contrastive Learning for Domain Adaptive Semantic
Segmentation,
ECCV22(XXX:38-55).
Springer DOI
2211
BibRef
Wu, T.H.[Tsung-Han],
Liou, Y.S.[Yi-Syuan],
Yuan, S.J.[Shao-Ji],
Lee, H.Y.[Hsin-Ying],
Chen, T.I.[Tung-I],
Huang, K.C.[Kuan-Chih],
Hsu, W.H.[Winston H.],
D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic
Segmentation,
ECCV22(XXIX:449-467).
Springer DOI
2211
BibRef
Zhao, Y.Y.[Yu-Yang],
Zhong, Z.[Zhun],
Zhao, N.[Na],
Sebe, N.[Nicu],
Lee, G.H.[Gim Hee],
Style-Hallucinated Dual Consistency Learning for Domain Generalized
Semantic Segmentation,
ECCV22(XXVIII:535-552).
Springer DOI
2211
BibRef
Pan, F.[Fei],
Hur, S.[Sungsu],
Lee, S.[Seokju],
Kim, J.[Junsik],
Kweon, I.S.[In So],
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing
for Open Compound Domain Adaptation in Semantic Segmentation,
ECCV22(XXXIV:236-251).
Springer DOI
2211
BibRef
Volpi, R.[Riccardo],
de Jorge, P.[Pau],
Larlus, D.[Diane],
Csurka, G.[Gabriela],
On the Road to Online Adaptation for Semantic Image Segmentation,
CVPR22(19162-19173)
IEEE DOI
2210
Representation learning, Image segmentation, Adaptation models,
Protocols, Roads, Semantics, Representation learning,
Transfer/low-shot/long-tail learning
BibRef
Liu, X.Y.[Xin-Yu],
Li, W.Y.[Wu-Yang],
Yang, Q.S.[Qiu-Shi],
Li, B.[Baopu],
Yuan, Y.X.[Yi-Xuan],
Towards Robust Adaptive Object Detection under Noisy Annotations,
CVPR22(14187-14196)
IEEE DOI
2210
Training, Adaptation models, Visualization, Upper bound, Annotations,
Semantics, Object detection, Recognition: detection,
Visual reasoning
BibRef
Zhang, M.[Miao],
Singh, H.[Harvineet],
Chok, L.[Lazarus],
Chunara, R.[Rumi],
Segmenting across places:
The need for fair transfer learning with satellite imagery,
FaDE-TCV22(2915-2924)
IEEE DOI
2210
Measurement, Adaptation models, Image segmentation, Satellites,
Systematics, Transfer learning, Urban areas
BibRef
Vasconcelos, C.[Cristina],
Birodkar, V.[Vighnesh],
Dumoulin, V.[Vincent],
Proper Reuse of Image Classification Features Improves Object
Detection,
CVPR22(13618-13627)
IEEE DOI
2210
Training, Schedules, Computational modeling, Transfer learning,
Memory management, Object detection, Feature extraction,
Transfer/low-shot/long-tail learning
BibRef
Li, B.H.[Bang-Huai],
Adaptive Hierarchical Representation Learning for Long-Tailed Object
Detection,
CVPR22(2303-2312)
IEEE DOI
2210
Representation learning, Measurement, Training, Adaptation models,
Machine vision, Design methodology, Object detection,
Transfer/low-shot/long-tail learning
BibRef
Lee, M.[Minhyun],
Kim, D.[Dongseob],
Shim, H.J.[Hyun-Jung],
Threshold Matters in WSSS: Manipulating the Activation for the Robust
and Accurate Segmentation Model Against Thresholds,
CVPR22(4320-4329)
IEEE DOI
2210
Image segmentation, Image resolution, Codes, Semantics, Robustness,
Segmentation, grouping and shape analysis,
Self- semi- meta- Transfer/low-shot/long-tail learning
BibRef
Kalluri, T.[Tarun],
Chandraker, M.[Manmohan],
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic
Segmentation across Disjoint Labels,
L3D-IVU22(4120-4130)
IEEE DOI
2210
Training, Image segmentation, Semantics, Minimization, Pattern recognition
BibRef
Zhao, L.[Liang],
Wang, L.M.[Li-Min],
Task-specific Inconsistency Alignment for Domain Adaptive Object
Detection,
CVPR22(14197-14206)
IEEE DOI
2210
Location awareness, Degradation, Codes, Computational modeling,
Detectors, Object detection, Recognition: detection,
Self- semi- meta- Transfer/low-shot/long-tail learning
BibRef
Zhao, Y.Z.[Yi-Zhou],
Guo, X.[Xun],
Lu, Y.[Yan],
Semantic-aligned Fusion Transformer for One-shot Object Detection,
CVPR22(7591-7601)
IEEE DOI
2210
Correlation, Semantics, Object detection,
Benchmark testing, Transformers, Recognition: detection,
Transfer/low-shot/long-tail learning
BibRef
Lang, C.[Chunbo],
Cheng, G.[Gong],
Tu, B.[Binfei],
Han, J.W.[Jun-Wei],
Learning What Not to Segment:
A New Perspective on Few-Shot Segmentation,
CVPR22(8047-8057)
IEEE DOI
2210
Image segmentation, Adaptation models, Sensitivity, Semantics,
Predictive models, Performance gain, grouping and shape analysis
BibRef
Wu, J.X.[Jia-Xi],
Chen, J.X.[Jia-Xin],
He, M.Z.[Meng-Zhe],
Wang, Y.[Yiru],
Li, B.[Bo],
Ma, B.Q.[Bing-Qi],
Gan, W.H.[Wei-Hao],
Wu, W.[Wei],
Wang, Y.[Yali],
Huang, D.[Di],
Target-Relevant Knowledge Preservation for Multi-Source Domain
Adaptive Object Detection,
CVPR22(5291-5300)
IEEE DOI
2210
Knowledge engineering, Degradation, Object detection, Detectors,
Benchmark testing, Recognition: detection, retrieval
BibRef
Prabhu, V.[Viraj],
Selvaraju, R.R.[Ramprasaath R.],
Hoffman, J.[Judy],
Naik, N.[Nikhil],
Can domain adaptation make object recognition work for everyone?,
L3D-IVU22(3980-3987)
IEEE DOI
2210
Geography, Adaptation models, Visualization, Image recognition,
Computational modeling
BibRef
Peng, D.[Duo],
Lei, Y.J.[Yin-Jie],
Hayat, M.[Munawar],
Guo, Y.L.[Yu-Lan],
Li, W.[Wen],
Semantic-Aware Domain Generalized Segmentation,
CVPR22(2584-2595)
IEEE DOI
2210
Deep learning, Adaptation models, Image segmentation,
Image analysis, Shape, Surface acoustic waves, Semantics,
Transfer/low-shot/long-tail learning
BibRef
Xu, J.R.[Jia-Rui],
de Mello, S.[Shalini],
Liu, S.[Sifei],
Byeon, W.[Wonmin],
Breuel, T.[Thomas],
Kautz, J.[Jan],
Wang, X.L.[Xiao-Long],
GroupViT: Semantic Segmentation Emerges from Text Supervision,
CVPR22(18113-18123)
IEEE DOI
2210
Representation learning, Image segmentation, Visualization, Shape,
Semantics, Object detection, Transformers, Vision + language,
Self- semi- meta- unsupervised learning
BibRef
Lee, S.H.[Seung-Hun],
Choi, W.[Wonhyeok],
Kim, C.J.[Chang-Jae],
Choi, M.W.[Min-Woo],
Im, S.H.[Sung-Hoon],
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive
Semantic Segmentation,
CVPR22(19174-19184)
IEEE DOI
2210
Training, Representation learning, Adaptation models,
Image segmentation, Visualization, Semantics,
Transfer/low-shot/long-tail learning
BibRef
Phan, M.H.[Minh Hieu],
Ta, T.A.[The-Anh],
Phung, S.L.[Son Lam],
Tran-Thanh, L.[Long],
Bouzerdoum, A.[Abdesselam],
Class Similarity Weighted Knowledge Distillation for Continual
Semantic Segmentation,
CVPR22(16845-16854)
IEEE DOI
2210
Deep learning, Representation learning, Shape,
Computational modeling, Machine vision, Semantics, Segmentation
BibRef
Li, R.H.[Rui-Huang],
Li, S.[Shuai],
He, C.H.[Chen-Hang],
Zhang, Y.B.[Ya-Bin],
Jia, X.[Xu],
Zhang, L.[Lei],
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic
Segmentation,
CVPR22(11583-11593)
IEEE DOI
2210
Training, Image segmentation, Statistical analysis, Shape, Semantics,
Pipelines, Predictive models, Segmentation,
Self- semi- meta- Transfer/low-shot/long-tail learning
BibRef
Zhang, W.Q.[Wen-Qiang],
Huang, Z.L.[Zi-Long],
Luo, G.Z.[Guo-Zhong],
Chen, T.[Tao],
Wang, X.G.[Xing-Gang],
Liu, W.Y.[Wen-Yu],
Yu, G.[Gang],
Shen, C.H.[Chun-Hua],
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation,
CVPR22(12073-12083)
IEEE DOI
2210
Deep learning, Shape, Semantics, Transformers,
Mobile handsets, Deep learning architectures and techniques,
grouping and shape analysis
BibRef
Tian, Z.T.[Zhuo-Tao],
Lai, X.[Xin],
Jiang, L.[Li],
Liu, S.[Shu],
Shu, M.[Michelle],
Zhao, H.S.[Heng-Shuang],
Jia, J.Y.[Jia-Ya],
Generalized Few-shot Semantic Segmentation,
CVPR22(11553-11562)
IEEE DOI
2210
Training, Image segmentation, Codes, Shape, Semantics, Prototypes,
grouping and shape analysis, Representation learning, Segmentation
BibRef
Lee, S.[Suhyeon],
Seong, H.[Hongje],
Lee, S.W.[Seong-Won],
Kim, E.T.[Eun-Tai],
WildNet: Learning Domain Generalized Semantic Segmentation from the
Wild,
CVPR22(9926-9936)
IEEE DOI
2210
Image segmentation, Codes, Semantics, Pattern recognition,
Self- semi- meta- Scene analysis and understanding
BibRef
Huo, X.Y.[Xin-Yue],
Xie, L.X.[Ling-Xi],
Hu, H.[Hengtong],
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
Tian, Q.[Qi],
Domain-Agnostic Prior for Transfer Semantic Segmentation,
CVPR22(7065-7075)
IEEE DOI
2210
Representation learning, Protocols, Shape, Navigation, Semantics,
Training data, Transfer/low-shot/long-tail learning,
grouping and shape analysis
BibRef
Ren, H.X.[Han-Xiang],
Yang, Y.C.[Yan-Chao],
Wang, H.[He],
Shen, B.[Bokui],
Fan, Q.[Qingnan],
Zheng, Y.Y.[You-Yi],
Liu, C.K.[C. Karen],
Guibas, L.J.[Leonidas J.],
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in
Semantic Segmentation,
CVPR22(8069-8079)
IEEE DOI
2210
Image segmentation, Uncertainty, Shape, Semantics,
Robot vision systems, Object segmentation, Color,
Vision applications and systems
BibRef
Xie, B.H.[Bin-Hui],
Yuan, L.H.[Long-Hui],
Li, S.[Shuang],
Liu, C.H.[Chi Harold],
Cheng, X.J.[Xin-Jing],
Towards Fewer Annotations: Active Learning via Region Impurity and
Prediction Uncertainty for Domain Adaptive Semantic Segmentation,
CVPR22(8058-8068)
IEEE DOI
2210
Image segmentation, Adaptation models, Uncertainty, Annotations,
Shape, Impurities, Semantics, Transfer/low-shot/long-tail learning,
grouping and shape analysis
BibRef
Chen, S.Y.[Si-Yuan],
Conditional Context-Aware Feature Alignment for Domain Adaptive
Detection Transformer,
MMMod22(I:272-283).
Springer DOI
2203
BibRef
Wang, X.[Xin],
Huang, T.E.[Thomas E.],
Liu, B.[Benlin],
Yu, F.[Fisher],
Wang, X.L.[Xiao-Long],
Gonzalez, J.E.[Joseph E.],
Darrell, T.J.[Trevor J.],
Robust Object Detection via Instance-Level Temporal Cycle Confusion,
ICCV21(9123-9132)
IEEE DOI
2203
Training, Adaptation models, Lightning, Detectors, Object detection,
Benchmark testing, Feature extraction,
Detection and localization in 2D and 3D
BibRef
Ramamonjison, R.[Rindra],
Banitalebi-Dehkordi, A.[Amin],
Kang, X.Y.[Xin-Yu],
Bai, X.L.[Xiao-Long],
Zhang, Y.[Yong],
SimROD: A Simple Adaptation Method for Robust Object Detection,
ICCV21(3550-3559)
IEEE DOI
2203
Adaptation models, Computational modeling, Object detection,
Benchmark testing, Data models,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Rezaeianaran, F.[Farzaneh],
Shetty, R.[Rakshith],
Aljundi, R.[Rahaf],
Reino, D.O.[Daniel Olmeda],
Zhang, S.S.[Shan-Shan],
Schiele, B.[Bernt],
Seeking Similarities over Differences: Similarity-based Domain
Alignment for Adaptive Object Detection,
ICCV21(9184-9193)
IEEE DOI
2203
Training, Visualization, Computational modeling, Prototypes,
Detectors, Object detection,
Detection and localization in 2D and 3D
BibRef
Jing, T.T.[Tao-Tao],
Liu, H.F.[Hong-Fu],
Ding, Z.M.[Zheng-Ming],
Towards Novel Target Discovery Through Open-Set Domain Adaptation,
ICCV21(9302-9311)
IEEE DOI
2203
Representation learning, Visualization, Adaptation models,
Computational modeling, Semantics, Benchmark testing,
Vision + other modalities
BibRef
Lin, C.[Chuang],
Yuan, Z.H.[Ze-Huan],
Zhao, S.C.[Si-Cheng],
Sun, P.[Peize],
Wang, C.H.[Chang-Hu],
Cai, J.F.[Jian-Fei],
Domain-Invariant Disentangled Network for Generalizable Object
Detection,
ICCV21(8751-8760)
IEEE DOI
2203
Laser radar, Object detection, Detectors, Benchmark testing,
Image reconstruction, Image classification,
Representation learning
BibRef
Kundu, J.N.[Jogendra Nath],
Kulkarni, A.[Akshay],
Singh, A.[Amit],
Jampani, V.[Varun],
Babu, R.V.[R. Venkatesh],
Generalize then Adapt: Source-Free Domain Adaptive Semantic
Segmentation,
ICCV21(7026-7036)
IEEE DOI
2203
Training, Art, Target recognition, Semantics, Reliability theory,
Benchmark testing, Segmentation, grouping and shape,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Wang, Y.X.[Yu-Xi],
Peng, J.R.[Jun-Ran],
Zhang, Z.X.[Zhao-Xiang],
Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic
Segmentation,
ICCV21(9072-9081)
IEEE DOI
2203
Training, Adaptation models, Uncertainty, Semantics,
Predictive models, Noise measurement,
grouping and shape
BibRef
Li, S.[Shuang],
Xie, M.[Mixue],
Lv, F.R.[Fang-Rui],
Liu, C.H.[Chi Harold],
Liang, J.[Jian],
Qin, C.[Chen],
Li, W.[Wei],
Semantic Concentration for Domain Adaptation,
ICCV21(9082-9091)
IEEE DOI
2203
Adaptation models, Annotations, Semantics, Predictive models,
Benchmark testing, Feature extraction,
Adversarial learning
BibRef
Tian, K.[Kun],
Zhang, C.H.[Cheng-Hao],
Wang, Y.[Ying],
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
Knowledge Mining and Transferring for Domain Adaptive Object
Detection,
ICCV21(9113-9122)
IEEE DOI
2203
Training, Degradation, Adaptation models, Correlation, Focusing,
Detectors, Object detection,
Representation learning
BibRef
Truong, T.D.[Thanh-Dat],
Prabhu, U.[Utsav],
Raj, B.[Bhiksha],
Cothren, J.[Jackson],
Luu, K.[Khoa],
FALCON: Fairness Learning via Contrastive Attention Approach to
Continual Semantic Scene Understanding,
CVPR25(15065-15075)
IEEE DOI
2508
Continuing education, Visualization, Semantic segmentation,
Computational modeling, Semantics, Benchmark testing, Grammar,
contrastive attention learning
BibRef
Truong, T.D.[Thanh-Dat],
Le, N.[Ngan],
Raj, B.[Bhiksha],
Cothren, J.[Jackson],
Luu, K.[Khoa],
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene
Understanding,
CVPR23(19988-19997)
IEEE DOI
2309
BibRef
Truong, T.D.[Thanh-Dat],
Duong, C.N.[Chi Nhan],
Le, N.[Ngan],
Phung, S.L.[Son Lam],
Rainwater, C.[Chase],
Luu, K.[Khoa],
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in
Semantic Scene Segmentation,
ICCV21(8528-8537)
IEEE DOI
2203
Measurement, Adaptation models, Computational modeling, Semantics,
Benchmark testing, Minimization,
grouping and shape
BibRef
Shin, I.[Inkyu],
Kim, D.J.[Dong-Jin],
Cho, J.W.[Jae Won],
Woo, S.[Sanghyun],
Park, K.Y.[Kwan-Yong],
Kweon, I.S.[In So],
LabOR: Labeling Only if Required for Domain Adaptive Semantic
Segmentation,
ICCV21(8568-8578)
IEEE DOI
2203
Degradation, Adaptation models, Costs, Semantics, Labeling,
Transfer/Low-shot/Semi/Unsupervised Learning, Scene analysis and understanding
BibRef
Chen, C.Q.[Chao-Qi],
Li, J.C.[Jiong-Cheng],
Zheng, Z.B.[Ze-Biao],
Huang, Y.[Yue],
Ding, X.H.[Xing-Hao],
Yu, Y.Z.[Yi-Zhou],
Dual Bipartite Graph Learning:
A General Approach for Domain Adaptive Object Detection,
ICCV21(2683-2692)
IEEE DOI
2203
Training, Adaptation models, Semantics, Pipelines, Detectors,
Object detection, Benchmark testing,
Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Zhang, H.[Hui],
Ding, H.H.[Heng-Hui],
Prototypical Matching and Open Set Rejection for Zero-Shot Semantic
Segmentation,
ICCV21(6954-6963)
IEEE DOI
2203
Training, Visualization, Semantics, Prototypes, Segmentation,
grouping and shape,
BibRef
Baek, D.[Donghyeon],
Oh, Y.[Youngmin],
Ham, B.[Bumsub],
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic
Segmentation,
ICCV21(9516-9525)
IEEE DOI
2203
Visualization, Semantics, Prototypes, Transforms, Benchmark testing,
Calibration, Transfer/Low-shot/Semi/Unsupervised Learning,
grouping and shape
BibRef
Cheng, J.X.[Jia-Xin],
Nandi, S.[Soumyaroop],
Natarajan, P.[Prem],
Abd-Almageed, W.[Wael],
SIGN: Spatial-information Incorporated Generative Network for
Generalized Zero-shot Semantic Segmentation,
ICCV21(9536-9546)
IEEE DOI
2203
Training, Image segmentation, Image coding, Annealing, Semantics,
Government, Benchmark testing,
grouping and shape
BibRef
Lu, Z.[Zhihe],
He, S.[Sen],
Zhu, X.T.[Xia-Tian],
Zhang, L.[Li],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Simpler is Better:
Few-shot Semantic Segmentation with Classifier Weight Transformer,
ICCV21(8721-8730)
IEEE DOI
2203
Training, Image segmentation, Adaptation models,
Continuous wavelet transforms, Semantics, Transformers,
grouping and shape
BibRef
Tjio, G.[Gabriel],
Liu, P.[Ping],
Zhou, J.T.Y.[Joey Tian-Yi],
Goh, R.S.M.[Rick Siow Mong],
Adversarial Semantic Hallucination for Domain Generalized Semantic
Segmentation,
WACV22(3849-3858)
IEEE DOI
2202
Training, Image segmentation, Data privacy, Codes,
Semantics, Ash, Grouping and Shape
BibRef
Zhang, Y.Z.[Yi-Zhe],
Borse, S.[Shubhankar],
Cai, H.[Hong],
Porikli, F.M.[Fatih M.],
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally
Consistent Video Semantic Segmentation,
WACV22(2633-2642)
IEEE DOI
2202
Adaptation models, Uncertainty, Semantics, Neural networks,
Estimation, Streaming media, Stability analysis, Segmentation,
Semi- and Un- supervised Learning
BibRef
Garg, P.[Prachi],
Saluja, R.[Rohit],
Balasubramanian, V.N.[Vineeth N],
Arora, C.[Chetan],
Subramanian, A.[Anbumani],
Jawahar, C.V.,
Multi-Domain Incremental Learning for Semantic Segmentation,
WACV22(2080-2090)
IEEE DOI
2202
Visualization, Roads, Semantics,
Interference, Stability analysis,
Semi- and Un- supervised Learning
BibRef
Razani, R.[Ryan],
Cheng, R.[Ran],
Li, E.[Enxu],
Taghavi, E.[Ehsan],
Ren, Y.[Yuan],
Liu, B.B.[Bing-Bing],
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network,
ICCV21(16056-16065)
IEEE DOI
2203
Laser radar, Convolution, Semantics, Benchmark testing,
Computational efficiency, Scene analysis and understanding,
Vision for robotics and autonomous vehicles
BibRef
Cheng, R.[Ran],
Razani, R.[Ryan],
Taghavi, E.[Ehsan],
Li, E.[Enxu],
Liu, B.B.[Bing-Bing],
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection
for Sparse Semantic Segmentation Network,
CVPR21(12542-12551)
IEEE DOI
2111
Learning systems, Laser radar, Fuses, Roads, Semantics, Feature extraction
BibRef
Zhang, Y.X.[Yi-Xin],
Wang, Z.[Zilei],
Mao, Y.S.[Yu-Shi],
RPN Prototype Alignment For Domain Adaptive Object Detector,
CVPR21(12420-12429)
IEEE DOI
2111
Degradation, Prototypes, Detectors,
Object detection, Feature extraction, Pattern recognition
BibRef
Zhang, Q.[Qiang],
Zhao, S.[Shenlu],
Luo, Y.J.[Yong-Jiang],
Zhang, D.W.[Ding-Wen],
Huang, N.Z.[Nian-Zchang],
Han, J.G.[Jun-Gong],
ABMDRNet: Adaptive-weighted Bi-directional Modality Difference
Reduction Network for RGB-T Semantic Segmentation,
CVPR21(2633-2642)
IEEE DOI
2111
Image segmentation, Technological innovation,
Fuses, Semantics, Lighting, Imaging
BibRef
Liu, Y.[Yuang],
Zhang, W.[Wei],
Wang, J.[Jun],
Source-Free Domain Adaptation for Semantic Segmentation,
CVPR21(1215-1224)
IEEE DOI
2111
Adaptation models, Image segmentation, Semantics,
Benchmark testing, Convolutional neural networks
BibRef
Yang, J.Y.[Jin-Yu],
An, W.Z.[Wei-Zhi],
Yan, C.C.[Chao-Chao],
Zhao, P.L.[Pei-Lin],
Huang, J.Z.[Jun-Zhou],
Context-Aware Domain Adaptation in Semantic Segmentation,
WACV21(514-524)
IEEE DOI
2106
Adaptation models, Aggregates, Semantics
BibRef
Huang, J.X.[Jia-Xing],
Lu, S.J.[Shi-Jian],
Guan, D.[Dayan],
Zhang, X.B.[Xiao-Bing],
Contextual-relation Consistent Domain Adaptation for Semantic
Segmentation,
ECCV20(XV:705-722).
Springer DOI
2011
BibRef
Subhani, M.N.[M. Naseer],
Ali, M.[Mohsen],
Learning from Scale-invariant Examples for Domain Adaptation in
Semantic Segmentation,
ECCV20(XXII:290-306).
Springer DOI
2011
BibRef
Yang, J.Y.[Jin-Yu],
An, W.Z.[Wei-Zhi],
Wang, S.[Sheng],
Zhu, X.L.[Xin-Liang],
Yan, C.C.[Chao-Chao],
Huang, J.Z.[Jun-Zhou],
Label-driven Reconstruction for Domain Adaptation in Semantic
Segmentation,
ECCV20(XXVII:480-498).
Springer DOI
2011
BibRef
Paul, S.[Sujoy],
Tsai, Y.H.[Yi-Hsuan],
Schulter, S.[Samuel],
Roy-Chowdhury, A.K.[Amit K.],
Chandraker, M.[Manmohan],
Domain Adaptive Semantic Segmentation Using Weak Labels,
ECCV20(IX:571-587).
Springer DOI
2011
BibRef
Yang, Y.,
Soatto, S.,
FDA: Fourier Domain Adaptation for Semantic Segmentation,
CVPR20(4084-4094)
IEEE DOI
2008
Semantics, Image segmentation, Training, Entropy, Adaptation models,
Task analysis, Frequency-domain analysis
BibRef
Li, G.R.[Guang-Rui],
Kang, G.L.[Guo-Liang],
Liu, W.[Wu],
Wei, Y.C.[Yun-Chao],
Yang, Y.[Yi],
Content-consistent Matching for Domain Adaptive Semantic Segmentation,
ECCV20(XIV:440-456).
Springer DOI
2011
BibRef
Lin, Y.X.[Yong-Xiang],
Tan, D.S.[Daniel Stanley],
Cheng, W.H.[Wen-Huang],
Chen, Y.Y.[Yung-Yao],
Hua, K.L.[Kai-Lung],
Spatially-Aware Domain Adaptation for Semantic Segmentation of Urban
Scenes,
ICIP19(1870-1874)
IEEE DOI
1910
Semantic segmentation, Domain adaptation, Spatial Structure
BibRef
Lv, F.M.[Feng-Mao],
Lian, Q.[Qing],
Yang, G.[Guowu],
Lin, G.S.[Guo-Sheng],
Pan, S.J.[Sinno Jialin],
Duan, L.X.[Li-Xin],
Domain Adaptive Semantic Segmentation Through Structure Enhancement,
TASKCV18(II:172-179).
Springer DOI
1905
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Cross-Domain for Semantic Segmentation .