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
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
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
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
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
Marnissi, M.A.[Mohamed Amine],
Fradi, H.[Hajer],
Sahbani, A.[Anis],
Essoukri-Ben Amara, N.[Najoua],
Improved domain adaptive object detector via adversarial feature
learning,
CVIU(230), 2023, pp. 103660.
Elsevier DOI
2303
BibRef
And:
Corrigendum:
CVIU(237), 2023, pp. 103685.
Elsevier DOI
2311
Unsupervised domain adaptation, Object detection,
Adversarial learning, Feature alignment, Discriminator, Transferability
BibRef
Shao, J.[Jie],
Wu, J.C.[Jia-Cheng],
Shen, W.Z.[Wen-Zhong],
Yang, C.[Cheng],
A Pairwise DomMix Attentive Adversarial Network for Unsupervised
Domain Adaptive Object Detection,
SPLetters(30), 2023, pp. 1667-1671.
IEEE DOI
2311
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
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
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, L.B.[Li-Bo],
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
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
He, L.[Lihuo],
Ke, J.J.[Jun-Jie],
Wang, Z.H.[Zheng-Hao],
Li, J.[Jie],
Zhou, K.[Kai],
Wang, Q.[Qi],
Gao, X.B.[Xin-Bo],
Vision-Language Models Empowered Nighttime Object Detection With
Consistency Sampler and Hallucination Feature Generator,
IP(34), 2025, pp. 8345-8360.
IEEE DOI
2512
Object detection, Feature extraction, Adaptation models,
Visualization, Generators, Detectors, Annotations,
hallucination feature generator
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
Li, H.C.[Hao-Chen],
Zhang, R.[Rui],
Yao, H.T.[Han-Tao],
Zhang, X.[Xin],
Hao, Y.F.[Yi-Fan],
Song, X.K.[Xin-Kai],
Li, L.[Ling],
REACT: Remainder Adaptive Compensation for Domain Adaptive Object
Detection,
IP(33), 2024, pp. 3735-3748.
IEEE DOI
2406
Feature extraction, Task analysis, Data mining, Detectors,
Object detection, Image edge detection, Annotations,
prototypes
BibRef
Wang, Y.[Yu],
Zhang, R.[Rui],
Zhang, S.[Shuo],
Li, M.[Miao],
Xia, Y.Y.[Yang-Yang],
Zhang, X.S.[Xi-Shan],
Liu, S.L.[Shao-Li],
Domain-Specific Suppression for Adaptive Object Detection,
CVPR21(9598-9607)
IEEE DOI
2111
Degradation, Adaptation models, Convolution, Semantics,
Object detection, Feature extraction
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
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
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
Bai, Y.F.[Yun-Fei],
Wu, Y.Q.[Yi-Qiang],
Zhu, B.[Bin],
Li, X.M.[Xiao-Mao],
Contrastive-Domain Mean Teacher for Domain Adaptive Object Detection,
CirSysVideo(35), No. 11, November 2025, pp. 10815-10827.
IEEE DOI
2511
Contrastive learning, Feature extraction, Adaptation models,
Detectors, Object detection, Training, Stars, Pipelines, Head,
contrastive learning
BibRef
Fu, Z.[Zehua],
Liu, C.G.[Chen-Guang],
Chen, Y.[Yuyu],
Zhou, J.Q.[Jia-Qi],
Liu, Q.J.[Qing-Jie],
Wang, Y.H.[Yun-Hong],
De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object
Detection,
ITS(26), No. 10, October 2025, pp. 15811-15825.
IEEE DOI
2511
Adaptation models, Training, Object detection, Detectors, Solid modeling,
Data models, Autonomous vehicles, Virtual reality, self-labeling
BibRef
Liu, Y.J.[Ya-Jing],
Zhang, Z.[Zhen],
Su, Y.M.[Yi-Ming],
Hao, C.H.[Chun-Hui],
Liu, X.Y.[Xi-Yao],
Tian, J.D.[Jian-Dong],
Unsupervised Domain Adaptive Object Detection via Semantic
Consistency and Compactness Learning,
IP(35), 2026, pp. 2276-2291.
IEEE DOI Code:
WWW Link.
2603
Semantics, Reliability, Object detection, Training,
Feature extraction, Adaptation models, Robots, Visualization,
transferability and discriminability
BibRef
Yong, M.J.[Ming-Jing],
Liu, N.Q.[Nan-Qing],
Lei, S.[Sen],
Pan, J.[Jie],
Yang, X.[Xue],
Li, H.C.[Heng-Chao],
Continual Test-Time Adaptive Object Detection in Remote Sensing
Images via Spectral Routing and Historical Reconstruction,
CirSysVideo(36), No. 9, September 2026, pp. 12875-12888.
IEEE DOI Code:
WWW Link.
2609
Activity recognition, Human activity recognition,
Cutoff frequency, Filtering, Integrated circuit modeling, Filters,
parameter-efficient fine-tuning
BibRef
Tang, S.[Song],
Yang, J.Z.[Jiu-Zheng],
Ye, M.[Mao],
Wang, B.[Boyu],
Gan, Y.[Yan],
Zhu, X.T.[Xia-Tian],
Source-Free Domain Adaptive Object Detection with semantics
compensation,
PR(179), 2026, pp. 113850.
Elsevier DOI Code:
WWW Link.
2606
Domain adaptation, Object detection, Weak-strong data augmentation,
Semantics compensation
BibRef
Li, S.F.[Shuai-Feng],
Ye, M.[Mao],
Zhu, X.T.[Xia-Tian],
Zhou, L.H.[Li-Hua],
Xiong, L.[Lin],
Source-Free Object Detection by Learning to Overlook Domain Style,
CVPR22(8004-8013)
IEEE DOI
2210
Adaptation models, Semantics, Training data, Object detection,
Detectors, Self-supervised learning, Predictive models,
Self- semi- meta- unsupervised learning
BibRef
Lin, Y.L.[Yan-Long],
Zhu, Z.Q.[Zi-Qian],
Guo, Y.T.[Yi-Tian],
Ou, Z.H.[Zhong-Hong],
Yao, S.Y.[Si-Yuan],
Song, M.[Meina],
Exploring Inter-Domain Wasserstein Metric for Adaptive Object
Detection,
MultMed(28), 2026, pp. 6616-6626.
IEEE DOI
2609
Measurement, Extraterrestrial measurements, Adaptation models,
Object detection, Training, Computational modeling, Indexes,
metric space
BibRef
Wang, K.Y.[Kun-Yu],
Fu, X.Y.[Xue-Yang],
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
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
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
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
Kennerley, M.[Mikhail],
Wang, J.G.[Jian-Gang],
Veeravalli, B.[Bharadwaj],
Tan, R.T.[Robby T.],
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised
Domain Adaptive Object Detection,
CVPR23(11484-11493)
IEEE DOI
2309
BibRef
Hegde, D.[Deepti],
Patel, V.M.[Vishal M.],
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D
Object Detection,
WACV24(3054-3064)
IEEE DOI
2404
Training, Noise, Memory management, Prototypes, Object detection,
Detectors, Algorithms, 3D computer vision, Algorithms,
and algorithms
BibRef
Vibashan, V.S.,
Oza, P.[Poojan],
Patel, V.M.[Vishal M.],
Instance Relation Graph Guided Source-Free Domain Adaptive Object
Detection,
CVPR23(3520-3530)
IEEE DOI
2309
BibRef
Vibashan, V.S.,
Oza, P.[Poojan],
Sindagi, V.A.[Vishwanath A.],
Patel, V.M.[Vishal M.],
Mixture of Teacher Experts for Source-Free Domain Adaptive Object
Detection,
ICIP22(3606-3610)
IEEE DOI
2211
Training, Adaptation models, Uncertainty, Monte Carlo methods, Law,
Object detection, Object detection, Domain adaptation, Pseudo-labels
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
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
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
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
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
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
Zhong, C.L.[Chao-Liang],
Wang, J.[Jie],
Feng, C.[Cheng],
Zhang, Y.[Ying],
Sun, J.[Jun],
Yokota, Y.[Yasuto],
PICA: Point-Wise Instance and Centroid Alignment Based Few-Shot
Domain Adaptive Object Detection with Loose Annotations,
WACV22(398-407)
IEEE DOI
2202
Training, Adaptation models, Annotations,
Computational modeling, Object detection, Predictive models,
Object Detection/Recognition/Categorization
BibRef
Nakamura, Y.[Yuzuru],
Ishii, Y.[Yasunori],
Maruyama, Y.[Yuki],
Yamashita, T.[Takayoshi],
Few-shot Adaptive Object Detection with Cross-domain Cutmix,
ACCV22(VI:746-763).
Springer DOI
2307
BibRef
Kotar, K.[Klemen],
Mottaghi, R.[Roozbeh],
Interactron: Embodied Adaptive Object Detection,
CVPR22(14840-14849)
IEEE DOI
2210
Training, Deep learning, Adaptation models, Navigation,
Computational modeling, Robot vision systems, Neural networks, retrieval
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
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
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, 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
Liu, Y.[Yabo],
Wang, J.H.[Jing-Hua],
Huang, C.[Chao],
Wang, Y.W.[Yao-Wei],
Xu, Y.[Yong],
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object
Detection,
CVPR23(23776-23786)
IEEE DOI
2309
BibRef
VS, V.[Vibashan],
Gupta, V.[Vikram],
Oza, P.[Poojan],
Sindagi, V.A.[Vishwanath A.],
Patel, V.M.[Vishal M.],
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised
Domain Adaptive Object Detection,
CVPR21(4514-4524)
IEEE DOI
2111
Training, Object detection, Benchmark testing,
Feature extraction, Routing
BibRef
Yang, S.Q.[Si-Qi],
Wu, L.[Lin],
Wiliem, A.[Arnold],
Lovell, B.C.[Brian C.],
Unsupervised Domain Adaptive Object Detection Using Forward-backward
Cyclic Adaptation,
ACCV20(III:124-142).
Springer DOI
2103
BibRef
Zhao, G.L.[Gan-Long],
Li, G.B.[Guan-Bin],
Xu, R.J.[Rui-Jia],
Lin, L.[Liang],
Collaborative Training Between Region Proposal Localization and
Classification for Domain Adaptive Object Detection,
ECCV20(XVIII:86-102).
Springer DOI
2012
BibRef
Zhao, Z.[Zhen],
Guo, Y.H.[Yu-Hong],
Shen, H.F.[Hai-Feng],
Ye, J.P.[Jie-Ping],
Adaptive Object Detection with Dual Multi-label Prediction,
ECCV20(XXVIII:54-69).
Springer DOI
2011
BibRef
Saito, K.[Kuniaki],
Ushiku, Y.[Yoshitaka],
Harada, T.[Tatsuya],
Saenko, K.[Kate],
Strong-Weak Distribution Alignment for Adaptive Object Detection,
CVPR19(6949-6958).
IEEE DOI
2002
BibRef
Lu, Y.X.[Yong-Xi],
Javidi, T.[Tara],
Lazebnik, S.[Svetlana],
Adaptive Object Detection Using Adjacency and Zoom Prediction,
CVPR16(2351-2359)
IEEE DOI
1612
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Detection Transformer, DETR Applications .