8.6.3 Semantic Segmentation, Label and Segment Together

Chapter Contents (Back)
Semantic Segmentation.
See also Domain Adaption for Semantic Segmentation.
See also Remote Sensing, Aerial Imagery, Semantic Segmentation.
See also Boundary Detection for Semantic Segmentation, Border Analysis.
See also Neural Networks for Segmentation.
See also Referring Image Segmentation.
See also Efficient Semantic Segmentation, Real-Time Segmentation.
See also Neural Networks for Semantic Segmentation.
See also Video Semantic Object Segmentation.
See also Weakly Supervised, Self Supervised Semantic Segmentation.
See also Semi-Supervised Semantic Segmentation.
See also Medical Image Semantic Segmentation.

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Zheng, Z.D.[Zhe-Dong], Yang, Y.[Yi],
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Yan, J.B.[Jie-Bin], Zhong, Y.[Yu], Fang, Y.M.[Yu-Ming], Wang, Z.Y.[Zhang-Yang], Ma, K.D.[Ke-De],
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Feng, Y.C.[Ying-Chao], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Li, J.[Jihao], Gao, X.[Xin],
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Knowledge engineering, Image segmentation, Correlation, Semantics, Task analysis, Complexity theory, Training, convolutional neural networks BibRef

Hu, J.[Jie], Kong, H.F.[Hui-Fang], Fan, L.[Lei], Zhou, J.[Jun],
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Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation,
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Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation,
ICCV19(7373-7382)
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Semantics, Image segmentation, Adaptation models, Annotations, Task analysis, Measurement, Lighting, Domain adaptation, curriculum learning. image annotation, learning (artificial intelligence), Uncertainty BibRef

Chen, M.H.[Ming-Hong], Shu, R.J.[Rui-Jun], Zhu, D.C.[Dong-Chen], Li, J.[Jiamao], Zhang, X.L.[Xiao-Lin],
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PRL(161), 2022, pp. 101-107.
Elsevier DOI 2209
Semantic fusion, Information entropy, Mask completion, Semantic segmentation BibRef

Zhang, X.[Xian], Li, Q.[Qiang], Quan, Z.B.[Zhi-Bin], Yang, W.K.[Wan-Kou],
Pyramid Geometric Consistency Learning For Semantic Segmentation,
PR(133), 2023, pp. 109020.
Elsevier DOI 2210
Semantic segmentation, Consistency learning, Supervised contrastive learning BibRef

Gao, G.Y.[Guang-Yu], Fang, Z.Y.[Zhi-Yuan], Han, C.[Cen], Wei, Y.C.[Yun-Chao], Liu, C.H.[Chi Harold], Yan, S.C.[Shui-Cheng],
DRNet: Double Recalibration Network for Few-Shot Semantic Segmentation,
IP(31), 2022, pp. 6733-6746.
IEEE DOI 2211
Convolution, Task analysis, Prototypes, Heating systems, Annotations, Image color analysis, Robustness, Few-shot learning, weakly-supervised learning BibRef

Li, Z.C.[Ze-Chao], Sun, Y.P.[Yan-Ping], Zhang, L.Y.[Li-Yan], Tang, J.H.[Jin-Hui],
CTNet: Context-Based Tandem Network for Semantic Segmentation,
PAMI(44), No. 12, December 2022, pp. 9904-9917.
IEEE DOI 2212
Semantics, Image segmentation, Feature extraction, Correlation, Computational modeling, Task analysis, Convolution, tandem network BibRef

Tian, Z.T.[Zhuo-Tao], Chen, P.G.[Peng-Guang], Lai, X.[Xin], Jiang, L.[Li], Liu, S.[Shu], Zhao, H.S.[Heng-Shuang], Yu, B.[Bei], Yang, M.C.[Ming-Chang], Jia, J.Y.[Jia-Ya],
Adaptive Perspective Distillation for Semantic Segmentation,
PAMI(45), No. 2, February 2023, pp. 1372-1387.
IEEE DOI 2301
Semantics, Feature extraction, Training, Predictive models, Adaptation models, Avalanche photodiodes, Context modeling, semantic segmentation BibRef

Cai, Y.X.[Yu-Xiang], Yu, Y.[Yuanlong], Jiang, W.J.[Wei-Jie], Chen, R.[Rong], Zheng, W.T.[Wei-Tao], Wu, X.[Xi], Su, R.J.[Ren-Jie],
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IET-IPR(17), No. 3, 2023, pp. 832-848.
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CCNet: Criss-Cross Attention for Semantic Segmentation,
PAMI(45), No. 6, June 2023, pp. 6896-6908.
IEEE DOI 2305
Semantics, Task analysis, Aggregates, Benchmark testing, Lips, Image segmentation, Context modeling, Semantic segmentation, context modeling BibRef

Gao, S.H.[Shang-Hua], Li, Z.Y.[Zhong-Yu], Yang, M.H.[Ming-Hsuan], Cheng, M.M.[Ming-Ming], Han, J.W.[Jun-Wei], Torr, P.H.S.[Philip H.S.],
Large-Scale Unsupervised Semantic Segmentation,
PAMI(45), No. 6, June 2023, pp. 7457-7476.
IEEE DOI 2305
Task analysis, Semantics, Benchmark testing, Shape, Annotations, Representation learning, Training, Large-scale, unsupervised BibRef

Liu, J.S.[Jin-Shi], Jiang, Z.H.[Zhao-Hui], Cao, T.[Ting], Chen, Z.W.[Zhi-Wen], Zhang, C.[Chaobo], Gui, W.H.[Wei-Hua],
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CirSysVideo(33), No. 6, June 2023, pp. 2906-2919.
IEEE DOI 2306
Image segmentation, Skeleton, Training, Data models, Semantic segmentation, Task analysis, Training data, leaf vertices BibRef

An, T.H.[Taeg-Hyun], Kang, J.Y.[Jung-Yu], Min, K.W.[Kyoung-Wook],
Network adaptation for color image semantic segmentation,
IET-IPR(17), No. 10, 2023, pp. 2972-2983.
DOI Link 2308
image colour analysis, image segmentation BibRef

Zhang, F.Y.[Feng-Yu], Panahi, A.[Ashkan], Gao, G.J.[Guang-Jun],
FsaNet: Frequency Self-Attention for Semantic Segmentation,
IP(32), 2023, pp. 4757-4772.
IEEE DOI 2309
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He, H.Y.[Hao-Yu], Cai, J.F.[Jian-Fei], Pan, Z.Z.[Zi-Zheng], Liu, J.[Jing], Zhang, J.[Jing], Tao, D.C.[Da-Cheng], Zhuang, B.[Bohan],
Dynamic Focus-aware Positional Queries for Semantic Segmentation,
CVPR23(11299-11308)
IEEE DOI 2309
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Zhao, D.[Danpei], Yuan, B.[Bo], Shi, Z.W.[Zhen-Wei],
Inherit With Distillation and Evolve With Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory,
PAMI(45), No. 10, October 2023, pp. 11932-11947.
IEEE DOI 2310
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Dong, Z.[Zihao], Fang, T.[Tiyu], Li, J.P.[Jin-Ping], Shao, X.L.[Xiu-Li],
Weakly supervised fine-grained semantic segmentation via spatial correlation-guided learning,
CVIU(236), 2023, pp. 103815.
Elsevier DOI 2310
Weakly supervised semantic segmentation, Spatial correlation-guided learning, Multi-view clustering BibRef

Chen, J.C.[Jia-Cheng], Gao, B.B.[Bin-Bin], Lu, Z.Q.[Zong-Qing], Xue, J.H.[Jing-Hao], Wang, C.J.[Cheng-Jie], Liao, Q.M.[Qing-Min],
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation,
MultMed(25), 2023, pp. 4361-4373.
IEEE DOI 2310
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Lin, F.J.[Fang-Jian], Liang, Z.H.[Zhan-Hao], Wu, S.[Sitong], He, J.J.[Jun-Jun], Chen, K.[Kai], Tian, S.W.[Sheng-Wei],
StructToken: Rethinking Semantic Segmentation With Structural Prior,
CirSysVideo(33), No. 10, October 2023, pp. 5655-5663.
IEEE DOI 2310
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Nguyen, K.[Khang], Do, K.[Kien], Vu, T.[Truong], Than, K.[Khoat],
Unsupervised image segmentation with robust virtual class contrast,
PRL(173), 2023, pp. 10-16.
Elsevier DOI 2310
Unsupervised image segmentation, Contrastive learning BibRef

Hu, Y.[Yutao], Huang, X.[Xin], Luo, X.Y.[Xiao-Yan], Han, J.G.[Jun-Gong], Cao, X.B.[Xian-Bin], Zhang, J.[Jun],
Learning Foreground Information Bottleneck for few-shot semantic segmentation,
PR(146), 2024, pp. 109993.
Elsevier DOI 2311
Information bottleneck, Semantic segmentation, Few-shot learning, Feature undermining BibRef

Zhang, L.L.[Ling-Ling], Zhang, X.Y.[Xin-Yu], Wang, Q.Y.[Qian-Ying], Wu, W.J.[Wen-Jun], Chang, X.J.[Xiao-Jun], Liu, J.[Jun],
RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation,
CirSysVideo(33), No. 11, November 2023, pp. 6609-6621.
IEEE DOI Code:
WWW Link. 2311
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Wang, R.G.[Rong-Gui], Yang, C.[Cong], Yang, J.[Juan], Xue, L.X.[Li-Xia],
FPIseg: Iterative segmentation network based on feature pyramid for few-shot segmentation,
IET-IPR(17), No. 13, 2023, pp. 3801-3814.
DOI Link 2311
attention mechanism, feature engineering, feature pyramid network, few-shot semantic segmentation, prototype network BibRef

Liu, W.[Weide], Zhang, C.[Chi], Ding, H.H.[Heng-Hui], Hung, T.Y.[Tzu-Yi], Lin, G.S.[Guo-Sheng],
Few-Shot Segmentation With Optimal Transport Matching and Message Flow,
MultMed(25), 2023, pp. 5130-5141.
IEEE DOI 2311
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Tan, W.M.[Wei-Min], Ru, G.H.[Gang-Hui], Jiang, Y.M.[Yue-Ming], Li, J.C.[Ji-Chun], Yan, B.[Bo],
Rethinking and Improving Few-Shot Segmentation From a Contour-Aware Perspective,
MultMed(25), 2023, pp. 6917-6929.
IEEE DOI Code:
WWW Link. 2311
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Zheng, Y.[Yu], Zhou, F.[Fugen], Liang, S.[Shangying], Song, W.T.[Wen-Tao], Bai, X.Z.[Xiang-Zhi],
Semantic Segmentation in Thermal Videos: A New Benchmark and Multi-Granularity Contrastive Learning-Based Framework,
ITS(24), No. 12, December 2023, pp. 14783-14799.
IEEE DOI Code:
HTML Version. 2312
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Ma, Y.D.[Ying-Dong], Jing, N.[Nan],
Semantic segmentation with cross convolution and multi-layer feature refinement,
JVCIR(97), 2023, pp. 103971.
Elsevier DOI 2312
Semantic segmentation, Cross convolution, Multi-scale context, Feature fusion BibRef

Chen, B.[Bike], Peng, W.[Wei], Cao, X.F.[Xiao-Feng], Röning, J.[Juha],
Hyperbolic Uncertainty Aware Semantic Segmentation,
ITS(25), No. 2, February 2024, pp. 1275-1290.
IEEE DOI 2402
Uncertainty, Training, Estimation, Computational modeling, Semantic segmentation, Drones, Task analysis, Hyperbolic space, autonomous drones BibRef

Zhu, Y.[Yi], Zhang, Z.Y.[Zhong-Yue], Wu, C.[Chongruo], Zhang, Z.[Zhi], He, T.[Tong], Zhang, H.[Hang], Manmatha, R., Li, M.[Mu], Smola, A.[Alexander],
Improving Semantic Segmentation via Efficient Self-Training,
PAMI(46), No. 3, March 2024, pp. 1589-1602.
IEEE DOI 2402
Training, Semantics, Computational modeling, Image segmentation, Data models, Schedules, Predictive models, Semantic segmentation, cross-domain generalization BibRef

Chen, L.[Lei], Dai, H.[Huhe], Zheng, Y.[Yuan],
RAFNet: Reparameterizable Across-Resolution Fusion Network for Real-Time Image Semantic Segmentation,
CirSysVideo(34), No. 2, February 2024, pp. 1212-1227.
IEEE DOI 2402
Decoding, Semantic segmentation, Real-time systems, Feature extraction, Training, Task analysis, Mobile handsets, hardware deployment BibRef

Du, Z.R.[Zhuo-Ran], Wei, S.K.[Shi-Kui], Liu, T.[Ting], Zhang, S.L.[Shun-Li], Chen, X.T.[Xiao-Tong], Zhang, S.Y.[Shi-Yin], Zhao, Y.[Yao],
Exploring the Applicability of Spectral Recovery in Semantic Segmentation of RGB Images,
MultMed(26), 2024, pp. 1932-1943.
IEEE DOI 2402
Hyperspectral imaging, Semantic segmentation, Task analysis, Semantics, Image color analysis, Feature extraction, Data mining, semantic segmentation BibRef

Zhang, X.[Xian], Quan, Z.B.[Zhi-Bin], Li, Q.[Qiang], Zhu, D.J.[De-Jun], Yang, W.K.[Wan-Kou],
SED: Searching Enhanced Decoder with switchable skip connection for semantic segmentation,
PR(149), 2024, pp. 110196.
Elsevier DOI 2403
NAS, Semantic segmentation, Encoder-decoder model BibRef

Li, L.L.[Liu-Lei], Wang, W.G.[Wen-Guan], Zhou, T.F.[Tian-Fei], Quan, R.J.[Rui-Jie], Yang, Y.[Yi],
Semantic Hierarchy-Aware Segmentation,
PAMI(46), No. 4, April 2024, pp. 2123-2138.
IEEE DOI 2403
Semantics, Semantic segmentation, Visualization, Task analysis, Training, Computer architecture, Adaptation models, semantic segmentation BibRef

Cong, W.[Wei], Cong, Y.[Yang], Dong, J.H.[Jia-Hua], Sun, G.[Gan], Ding, H.H.[Heng-Hui],
Gradient-Semantic Compensation for Incremental Semantic Segmentation,
MultMed(26), 2024, pp. 5561-5574.
IEEE DOI 2404
Semantics, Semantic segmentation, Dogs, Prototypes, Training, Task analysis, Heuristic algorithms, Gradient compensation, semantic segmentation BibRef

Karine, A.[Ayoub], Napoléon, T.[Thibault], Jridi, M.[Maher],
Channel-spatial knowledge distillation for efficient semantic segmentation,
PRL(180), 2024, pp. 48-54.
Elsevier DOI Code:
WWW Link. 2404
Semantic segmentation, Lightweight deep learning, Self-attention distillation, Centered kernel alignment BibRef

Yuan, H.C.[Hao-Chen], Peng, J.J.[Jun-Jie],
LCSeg-Net: A low-contrast images semantic segmentation model with structural and frequency spectrum information,
PR(151), 2024, pp. 110428.
Elsevier DOI 2404
Image semantic segmentation, Low-contrast image, Structural information enhancement, Feature adaptive fusion BibRef

Chen, J.L.[Jia-Lei], Deguchi, D.[Daisuke], Zhang, C.[Chenkai], Zheng, X.[Xu], Murase, H.[Hiroshi],
Frozen is better than learning: A new design of prototype-based classifier for semantic segmentation,
PR(152), 2024, pp. 110431.
Elsevier DOI 2405
Frozen prototype, Contrastive learning, Representation learning, Semantic segmentation BibRef

Ma, Y.D.[Ying-Dong], Lan, X.B.[Xia-Bin],
Semantic segmentation using cross-stage feature reweighting and efficient self-attention,
IVC(145), 2024, pp. 104996.
Elsevier DOI 2405
Semantic segmentation, Convolutional neural networks, Transformer, Feature fusion and reweighting BibRef

Xia, X.F.[Xiao-Feng], Ma, Y.D.[Ying-Dong],
Cross-stage feature fusion and efficient self-attention for salient object detection,
JVCIR(104), 2024, pp. 104271.
Elsevier DOI 2411
Salient object detection, Cross-stage feature fusion, Efficient self-attention BibRef

Zhang, D.[Dong], Lin, Y.[Yi], Tang, J.H.[Jin-Hui], Cheng, K.T.[Kwang-Ting],
CAE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions,
IJCV(132), No. 5, May 2024, pp. 1502-1520.
Springer DOI 2405
BibRef

Zhang, B.[Bao], Yao, N.[Nianmin], Zhao, J.[Jian], Zhang, Y.[Yanan],
Alignment and fusion for adaptive domain nighttime semantic segmentation,
IVC(146), 2024, pp. 105008.
Elsevier DOI 2405
Vision transformer, Small category sampling, Image blending, Local image patches BibRef

Wu, W.J.[Wei-Jia], Zhao, Y.Z.[Yu-Zhong], Li, Z.A.[Zhu-Ang], Shan, L.L.[Lian-Lei], Zhou, H.[Hong], Shou, M.Z.[Mike Zheng],
Continual Learning for Image Segmentation With Dynamic Query,
CirSysVideo(34), No. 6, June 2024, pp. 4874-4886.
IEEE DOI 2406
Task analysis, Semantic segmentation, Transformers, Semantics, Representation learning, Decoding, Annotations, Image segmentation, transformer BibRef

Wu, W.J.[Wei-Jia], Zhao, Y.Z.[Yu-Zhong], Shou, M.Z.[Mike Zheng], Zhou, H.[Hong], Shen, C.H.[Chun-Hua],
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models,
ICCV23(1206-1217)
IEEE DOI 2401
BibRef

Cuevas-Velasquez, H.[Hanz], Galán-Cuenca, A.[Alejandro], Fisher, R.B.[Robert B.], Gallego, A.J.[Antonio Javier],
Efficient multi-task progressive learning for semantic segmentation and disparity estimation,
PR(154), 2024, pp. 110601.
Elsevier DOI 2406
Stereo vision, Semantic segmentation, Joint learning, 3D modeling, Multi-task, Disparity estimation BibRef

Peng, X.[Xin], Cheng, J.[Jieren], Tang, X.Y.[Xiang-Yan], Deng, Z.Q.[Zi-Qi], Tu, W.X.[Wen-Xuan], Xiong, N.[Neal],
HSNet: An Intelligent Hierarchical Semantic-Aware Network System for Real-Time Semantic Segmentation,
SMCS(54), No. 7, July 2024, pp. 4318-4330.
IEEE DOI 2406
Semantics, Semantic segmentation, Real-time systems, Convolution, Aggregates, Fuses, Feature extraction, Attention mechanism, semantic segmentation BibRef

Zhou, T.F.[Tian-Fei], Wang, W.G.[Wen-Guan],
Cross-Image Pixel Contrasting for Semantic Segmentation,
PAMI(46), No. 8, August 2024, pp. 5398-5412.
IEEE DOI 2407
Image segmentation, Training, Self-supervised learning, Semantics, Semantic segmentation, Task analysis, Measurement, metric learning BibRef

Wang, W.G.[Wen-Guan], Zhou, T.F.[Tian-Fei], Yu, F.[Fisher], Dai, J.F.[Ji-Feng], Konukoglu, E.[Ender], Van Gool, L.J.[Luc J.],
Exploring Cross-Image Pixel Contrast for Semantic Segmentation,
ICCV21(7283-7293)
IEEE DOI 2203
Training, Representation learning, Measurement, Image segmentation, Semantics, Training data, Optical character recognition software, Scene analysis and understanding BibRef

Liu, Q.Q.[Qian-Qian], Wang, X.L.[Xi-Li],
Bidirectional Feature Fusion and Enhanced Alignment Based Multimodal Semantic Segmentation for Remote Sensing Images,
RS(16), No. 13, 2024, pp. 2289.
DOI Link 2407
BibRef

Rao, Y.[Yunbo], Lv, Q.S.[Qing-Song], Sharf, A.[Andrei], Cheng, Z.L.[Zhang-Lin],
RWS: Refined Weak Slice for Semantic Segmentation Enhancement,
CirSysVideo(34), No. 7, July 2024, pp. 5704-5715.
IEEE DOI 2407
Image segmentation, Heating systems, Semantic segmentation, Convolutional neural networks, Semantics, retraining BibRef

Wang, Z.X.[Zi-Xiao], Xie, H.T.[Hong-Tao], Wang, Y.X.[Yu-Xin], Xu, H.[Hai], Jin, G.Q.[Guo-Qing],
DCFP: Distribution Calibrated Filter Pruning for Lightweight and Accurate Long-Tail Semantic Segmentation,
CirSysVideo(34), No. 7, July 2024, pp. 6063-6076.
IEEE DOI 2407
Tail, Semantics, Task analysis, Regulation, Semantic segmentation, Optimization, Filtering algorithms, Semantic segmentation, imbalance BibRef

Diakogiannis, F.I.[Foivos I.], Furby, S.[Suzanne], Caccetta, P.[Peter], Wu, X.L.[Xiao-Liang], Ibata, R.[Rodrigo], Hlinka, O.[Ondrej], Taylor, J.[John],
SSG2: A new modeling paradigm for semantic segmentation,
PandRS(215), 2024, pp. 44-61.
Elsevier DOI Code:
WWW Link. 2408
Convolutional neural network, Semantic segmentation, Attention, Transformer, Vision transformer, Sequence modeling, Semantic change detection BibRef

Yang, Z.G.[Zhen-Geng], Yu, H.S.[Hong-Shan], Sun, W.[Wei], Cheng, L.[Li], Mian, A.[Ajmal],
Domain-Invariant Prototypes for Semantic Segmentation,
CirSysVideo(34), No. 8, August 2024, pp. 7614-7627.
IEEE DOI Code:
WWW Link. 2408
Training, Prototypes, Semantic segmentation, Task analysis, Annotations, Semantics, Feature extraction, Semantic segmentation, prototype learning BibRef

Chen, R.Y.[Rui-Ying], Liu, Y.[Yunan], Bo, Y.M.[Yu-Ming], Lu, M.Y.[Ming-Yu],
Dual-branch teacher-student with noise-tolerant learning for domain adaptive nighttime segmentation,
IVC(150), 2024, pp. 105211.
Elsevier DOI 2409
Nighttime semantic segmentation, Domain alignment, Knowledge distillation, Noise-tolerant learning BibRef

Zhou, Z.H.[Zhi-Heng], Yue, W.L.[Wan-Lin], Cao, Y.[Yinglie], Shen, S.[Shifu],
Black-box model adaptation for semantic segmentation,
IVC(150), 2024, pp. 105233.
Elsevier DOI 2409
Model adaptation, Semantic segmentation, Black-box BibRef

Yang, G.Y.[Guo-Yu], Lei, J.[Jie], Tian, H.[Hao], Feng, Z.[Zunlei], Liang, R.H.[Rong-Hua],
Asymptotic Feature Pyramid Network for Labeling Pixels and Regions,
CirSysVideo(34), No. 9, September 2024, pp. 7820-7829.
IEEE DOI Code:
WWW Link. 2410
Feature extraction, Semantics, Computer architecture, Task analysis, Fuses, Semantic segmentation, Object detection, adaptive spatial fusion BibRef

Gou, J.P.[Jian-Ping], Zhou, X.[Xiabin], Du, L.[Lan], Zhan, Y.B.[Yi-Bing], Chen, W.[Wu], Yi, Z.[Zhang],
Difference-Aware Distillation for Semantic Segmentation,
MultMed(26), 2024, pp. 10069-10080.
IEEE DOI 2410
Semantic segmentation, Task analysis, Semantics, Convolution, Probability distribution, Knowledge engineering BibRef

Liu, W.X.[Wen-Xi], Li, Q.[Qi], Lin, X.D.[Xin-Dai], Yang, W.X.[Wei-Xiang], He, S.F.[Sheng-Feng], Yu, Y.L.[Yuan-Long],
Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement,
IJCV(132), No. 11, November 2024, pp. 5030-5047.
Springer DOI 2411
BibRef
Earlier: A2, A4, A1, A6, A5, Only:
From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation,
ICCV21(7232-7241)
IEEE DOI 2203
Image segmentation, Image resolution, Correlation, Codes, Computational modeling, Semantics, Segmentation, Scene analysis and understanding BibRef

Wang, Y.X.[Yu-Xi], Liang, J.[Jian], Zhang, Z.X.[Zhao-Xiang],
A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation,
PAMI(46), No. 12, December 2024, pp. 9890-9907.
IEEE DOI 2411
Adaptation models, Data models, Predictive models, Semantic segmentation, Task analysis, Training, source data-free BibRef

Huang, Y.[Ye], Kang, D.[Di], Chen, L.[Liang], Jia, W.J.[Wen-Jing], He, X.J.[Xiang-Jian], Duan, L.X.[Li-Xin], Zhe, X.F.[Xue-Fei], Bao, L.C.[Lin-Chao],
CARD: Semantic Segmentation With Efficient Class-Aware Regularized Decoder,
CirSysVideo(34), No. 10, October 2024, pp. 9024-9038.
IEEE DOI Code:
WWW Link. 2411
BibRef
Earlier: A1, A2, A3, A7, A4, A8, A5, Only:
CAR: Class-Aware Regularizations for Semantic Segmentation,
ECCV22(XXVIII:518-534).
Springer DOI 2211
Automobiles, Feature extraction, Semantic segmentation, Task analysis, Decoding, Training, Cows, Semantic segmentation, COCOStuff BibRef

Yuan, Z.[Zheng], Zhang, J.[Jie], Wang, Y.[Yude], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Towards Robust Semantic Segmentation against Patch-Based Attack via Attention Refinement,
IJCV(132), No. 11, November 2024, pp. 5270-5292.
Springer DOI 2411
Attention mechanism. BibRef

Meyarian, A.[Abolfazl], Yuan, X.H.[Xiao-Hui], Qiao, Z.[Zhinan],
Spatial Plaid Attention Decoder for Semantic Segmentation,
ICIP24(2723-2729)
IEEE DOI 2411
Visualization, Accuracy, Semantic segmentation, Computational modeling, Benchmark testing, Feature extraction, Semantic BibRef

Long, C.[Cheng], Nag, S.[Sayantika], Barbu, A.[Adrian],
PCA-UNET for Object Segmentation,
ICIP24(2522-2528)
IEEE DOI 2411
Training, Shape, Computational modeling, Semantic segmentation, Object segmentation, Vectors, Data models, shape modeling. BibRef

Yoo, J.[Jiwon], Lee, J.[Jangwon], Kim, G.H.[Gyeong-Hwan],
A Decoding Scheme with Successive Aggregation of Multi-Level Features for Light-Weight Semantic Segmentation,
ICIP24(1071-1077)
IEEE DOI 2411
Accuracy, Semantic segmentation, Computational modeling, Semantics, Computer architecture, Transformers, Semantic segmentation, Aggregated semantics BibRef

Gao, Z.T.[Zi-Teng], Tong, Z.[Zhan], Lin, K.Q.[Kevin Qinghong], Chen, J.[Joya], Shou, M.Z.[Mike Zheng],
Bootstrapping SparseFormers from Vision Foundation Models,
CVPR24(17710-17721)
IEEE DOI Code:
WWW Link. 2410
Training, Visualization, Accuracy, Semantic segmentation, Computer architecture, Transformers BibRef

Shlapentokh-Rothman, M.[Michal], Blume, A.[Ansel], Xiao, Y.[Yao], Wu, Y.[Yuqun], Sethuraman, T.V., Tao, H.[Heyi], Lee, J.Y.[Jae Yong], Torres, W.[Wilfredo], Wang, Y.X.[Yu-Xiong], Hoiem, D.[Derek],
Region-Based Representations Revisited,
CVPR24(17107-17116)
IEEE DOI 2410
Solid modeling, Analytical models, Image analysis, Semantic segmentation, Feature extraction BibRef

Luo, Y.[Yang], Chen, Z.[Zhineng], Zhou, P.[Peng], Wu, Z.[Zuxuan], Gao, X.[Xieping], Jiang, Y.G.[Yu-Gang],
Learning to Rank Patches for Unbiased Image Redundancy Reduction,
CVPR24(22831-22840)
IEEE DOI Code:
WWW Link. 2410
Visualization, Accuracy, Semantic segmentation, Redundancy, Semantics, Self-supervised learning, Object detection, Self-supervised Leanring BibRef

Zhu, S.T.[Si-Ting], Wang, G.M.[Guang-Ming], Blum, H.[Hermann], Liu, J.[Jiuming], Song, L.[Liang], Pollefeys, M.[Marc], Wang, H.S.[He-Sheng],
SNI-SLAM: Semantic Neural Implicit SLAM,
CVPR24(21167-21177)
IEEE DOI Code:
WWW Link. 2410
Geometry, Surface reconstruction, Accuracy, Simultaneous localization and mapping, Semantic segmentation, 3D Semantic Reconstruction BibRef

Bai, Y.T.[Yu-Tong], Geng, X.Y.[Xin-Yang], Mangalam, K.[Karttikeya], Bar, A.[Amir], Yuille, A.L.[Alan L.], Darrell, T.J.[Trevor J.], Malik, J.[Jitendra], Efros, A.A.[Alexei A.],
Sequential Modeling Enables Scalable Learning for Large Vision Models,
CVPR24(22861-22872)
IEEE DOI 2410
Training, Visualization, Computational modeling, Soft sensors, Semantic segmentation, Predictive models, Linguistics, scaling BibRef

Zhang, X.[Xiao], Yunis, D.[David], Maire, M.[Michael],
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations,
CVPR24(4165-4175)
IEEE DOI 2410
Analytical models, Visualization, Semantic segmentation, Layout, Semantics, Transformers, Feature extraction BibRef

Gong, Y.Z.[Yi-Zheng], Yu, S.Y.[Si-Yue], Wang, X.Y.[Xiao-Yang], Xiao, J.[Jimin],
Continual Segmentation with Disentangled Objectness Learning and Class Recognition,
CVPR24(3848-3857)
IEEE DOI Code:
WWW Link. 2410
Resistance, Instance segmentation, Continuing education, Codes, Semantic segmentation, continual learning, Transformer BibRef

Chen, L.W.[Lin-Wei], Gu, L.[Lin], Zheng, D.[Dezhi], Fu, Y.[Ying],
Frequency-Adaptive Dilated Convolution for Semantic Segmentation,
CVPR24(3414-3425)
IEEE DOI Code:
WWW Link. 2410
Convolution, Reviews, Semantic segmentation, Bandwidth, Computer architecture, Object detection, dilated convolution, frequency BibRef

Zhang, H.[Hao], Zuo, X.[Xuhui], Jiang, J.[Jie], Guo, C.[Chunchao], Ma, J.Y.[Jia-Yi],
MRFS: Mutually Reinforcing Image Fusion and Segmentation,
CVPR24(26964-26973)
IEEE DOI Code:
WWW Link. 2410
Visualization, Accuracy, Image color analysis, Semantic segmentation, Semantics, Logic gates, Feature extraction, Attention BibRef

Wu, J.J.[Ji-Jia], Chang, A.C.H.[Andy Chia-Hao], Chuang, C.Y.[Chieh-Yu], Chen, C.P.[Chun-Pei], Liu, Y.L.[Yu-Lun], Chen, M.H.[Min-Hung], Hu, H.N.[Hou-Ning], Chuang, Y.Y.[Yung-Yu], Lin, Y.Y.[Yen-Yu],
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation,
CVPR24(26784-26793)
IEEE DOI Code:
WWW Link. 2410
Learning systems, Visualization, Codes, Semantic segmentation, Semantics, Contrastive learning BibRef

Fischer, S.[Sophie], Voiculescu, I.[Irina],
Hairy Ground Truth Enhancement for Semantic Segmentation,
EnhanceMedIm24(2404-2412)
IEEE DOI 2410
Training, Costs, Semantic segmentation, Transforms, Predictive models, Writing, Medical Imaging, Machine Learning, Ground Truth Enhancement BibRef

Zhang, Z.[Zhi], Zhang, Q.Z.[Qi-Zhe], Gao, Z.J.[Zi-Jun], Zhang, R.R.[Ren-Rui], Shutova, E.[Ekaterina], Zhou, S.[Shiji], Zhang, S.H.[Shang-Hang],
Gradient-based Parameter Selection for Efficient Fine-Tuning,
CVPR24(28566-28577)
IEEE DOI Code:
WWW Link. 2410
Training, Adaptation models, Computational modeling, Semantic segmentation, peft BibRef

Weber, S.[Simon], Zöngür, B.[Banis], Araslanov, N.[Nikita], Cremers, D.[Daniel],
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball,
CVPR24(28223-28232)
IEEE DOI 2410
Training, Knowledge engineering, Accuracy, Semantic segmentation, Semantics, Taxonomy, Semantic segmentation, Hyperbolic geometry, Hierarchical tree BibRef

Li, M.[Maohui], Halstead, M.[Michael], McCool, C.[Chris],
Knowledge Distillation for Efficient Instance Semantic Segmentation with Transformers,
AgriVision24(5432-5439)
IEEE DOI 2410
Knowledge engineering, Semantic segmentation, Computational modeling, Impedance matching, Neural networks, Transformer BibRef

Alexandropoulos, S.[Stamatis], Sakaridis, C.[Christos], Maragos, P.[Petros],
OVeNet: Offset Vector Network for Semantic Segmentation,
WACV24(7392-7403)
IEEE DOI Code:
WWW Link. 2404
Visualization, Shape, Semantic segmentation, Semantics, Benchmark testing, Predictive models, Performance gain, Autonomous Driving BibRef

Maag, K.[Kira], Fischer, A.[Asja],
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation,
WACV24(3894-3902)
IEEE DOI 2404
Analytical models, Semantic segmentation, Perturbation methods, Computational modeling, Artificial neural networks, Autonomous Driving BibRef

Hariat, M.[Marwane], Laurent, O.[Olivier], Kazmierczak, R.[Rémi], Zhang, S.H.[Shi-Hao], Bursuc, A.[Andrei], Yao, A.[Angela], Franchi, G.[Gianni],
Learning to generate training datasets for robust semantic segmentation,
WACV24(3882-3893)
IEEE DOI 2404
Training, Semantic segmentation, Perturbation methods, Computer network reliability, Transformers, Datasets and evaluations BibRef

Liu, Y.[Yuang], Zhou, Q.[Qiang], Wang, J.[Jing], Wang, Z.B.[Zhi-Bin], Wang, F.[Fan], Wang, J.[Jun], Zhang, W.[Wei],
Dynamic Token-Pass Transformers for Semantic Segmentation,
WACV24(1816-1825)
IEEE DOI Code:
WWW Link. 2404
Costs, Semantic segmentation, Semantics, Predictive models, Transformers, Feature extraction, Throughput, Algorithms, Image recognition and understanding BibRef

Khoshsirat, S.[Seyedalireza], Kambhamettu, C.[Chandra],
Improving Normalization with the James-Stein Estimator,
WACV24(2030-2040)
IEEE DOI 2404
Visualization, Semantic segmentation, Estimation, Transformers, Vectors, Algorithms, Machine learning architectures, formulations, Image recognition and understanding BibRef

Qin, M.H.[Ming-Hai], Sun, C.[Chao], Hofmann, J.[Jaco], Vucinic, D.[Dejan],
DISCO: Distributed Inference with Sparse Communications,
WACV24(2421-2429)
IEEE DOI 2404
Computational modeling, Semantic segmentation, Memory management, Superresolution, Artificial neural networks, Parallel processing BibRef

Hu, R., Dollár, P., He, K., Darrell, T.J., Girshick, R.[Ross],
Learning to Segment Every Thing,
CVPR18(4233-4241)
IEEE DOI 1812
Training, Task analysis, Visualization, Transfer functions, Predictive models, Image segmentation, Genomics BibRef

Hariharan, B.[Bharath], Arbeláez, P.[Pablo], Girshick, R.[Ross], Malik, J.[Jitendra],
Simultaneous Detection and Segmentation,
ECCV14(VII: 297-312).
Springer DOI 1408

See also Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation. BibRef

Arbelaez, P.[Pablo], Hariharan, B.[Bharath], Gu, C.H.[Chun-Hui], Gupta, S.[Saurabh], Bourdev, L.[Lubomir], Malik, J.[Jitendra],
Semantic segmentation using regions and parts,
CVPR12(3378-3385).
IEEE DOI 1208
BibRef

Zhang, D.[Dan], Sakmann, K.[Kaspar], Beluch, W.[William], Hutmacher, R.[Robin], Li, Y.[Yumeng],
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation,
BRAVO23(4067-4075)
IEEE DOI 2401
BibRef

Zbinden, L.[Lukas], Doorenbos, L.[Lars], Pissas, T.[Theodoros], Huber, A.T.[Adrian Thomas], Sznitman, R.[Raphael], Márquez-Neila, P.[Pablo],
Stochastic Segmentation with Conditional Categorical Diffusion Models,
ICCV23(1119-1129)
IEEE DOI 2401
BibRef

Zhang, Z.K.[Ze-Kang], Gao, G.Y.[Guang-Yu], Jiao, J.B.[Jian-Bo], Liu, C.H.[Chi Harold], Wei, Y.C.[Yun-Chao],
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation,
ICCV23(843-853)
IEEE DOI Code:
WWW Link. 2401
BibRef

Nayal, N.[Nazir], Yavuz, M.[Misra], Henriques, J.F.[Joăo F.], Güney, F.[Fatma],
RbA: Segmenting Unknown Regions Rejected by All,
ICCV23(711-722)
IEEE DOI Code:
WWW Link. 2401
BibRef

Xia, R.[Ruihao], Zhao, C.Q.[Chao-Qiang], Zheng, M.[Meng], Wu, Z.Y.[Zi-Yan], Sun, Q.Y.[Qi-Yu], Tang, Y.[Yang],
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation,
ICCV23(21515-21524)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wei, Z.X.[Zhi-Xiang], Chen, L.[Lin], Tu, T.[Tao], Ling, P.Y.[Peng-Yang], Chen, H.[Huaian], Jin, Y.[Yi],
Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement,
ICCV23(21536-21546)
IEEE DOI Code:
WWW Link. 2401
BibRef

Colomer, M.B.[Marc Botet], Dovesi, P.L.[Pier Luigi], Panagiotakopoulos, T.[Theodoros], Carvalho, J.F.[Joao Frederico], Härenstam-Nielsen, L.[Linus], Azizpour, H.[Hossein], Kjellström, H.[Hedvig], Cremers, D.[Daniel], Poggi, M.[Matteo],
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation,
ICCV23(16502-16513)
IEEE DOI 2401
BibRef

Liu, Y.[Yinhe], Shi, S.[Sunan], Wang, J.[Junjue], Zhong, Y.F.[Yan-Fei],
Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning,
ICCV23(16822-16832)
IEEE DOI 2401
BibRef

Bruggemann, D.[David], Sakaridis, C.[Christos], Brödermann, T.[Tim], Van Gool, L.J.[Luc J.],
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation,
ICCV23(11344-11353)
IEEE DOI Code:
WWW Link. 2401
BibRef

Kim, H.[Hoyoung], Oh, M.[Minhyeon], Hwang, S.[Sehyun], Kwak, S.[Suha], Ok, J.[Jungseul],
Adaptive Superpixel for Active Learning in Semantic Segmentation,
ICCV23(943-953)
IEEE DOI 2401
BibRef

Liu, Y.[Yuhe], Liu, C.J.[Chuan-Jian], Han, K.[Kai], Tang, Q.[Quan], Qin, Z.C.[Zeng-Chang],
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings,
ICCV23(821-831)
IEEE DOI Code:
WWW Link. 2401
BibRef

Liu, W.[Wei], Zhang, H.G.[Hui-Gang], Xia, X.J.[Xiao-Jie], Wang, L.[Liuan], Sun, J.[Jun],
Semantic-Embedded Knowledge Acquisition and Reasoning for Image Segmentation,
ICIP23(2360-2364)
IEEE DOI 2312
BibRef

Tan, Y.[Yang], Li, Y.C.[Yi-Cong], Li, Y.[Yang], Zhang, X.P.[Xiao-Ping],
Efficient Prediction of Model Transferability in Semantic Segmentation Tasks,
ICIP23(720-724)
IEEE DOI 2312
BibRef

Chen, Z.W.[Zi-Wen], Patnaik, K.[Kaushik], Zhai, S.F.[Shuang-Fei], Wan, A.[Alvin], Ren, Z.[Zhile], Schwing, A.[Alex], Colburn, A.[Alex], Li, F.X.[Fu-Xin],
AutoFocusFormer: Image Segmentation off the Grid,
CVPR23(18227-18236)
IEEE DOI 2309
BibRef

Zou, X.Y.[Xue-Yan], Dou, Z.Y.[Zi-Yi], Yang, J.W.[Jian-Wei], Gan, Z.[Zhe], Li, L.J.[Lin-Jie], Li, C.Y.[Chun-Yuan], Dai, X.[Xiyang], Behl, H.[Harkirat], Wang, J.F.[Jian-Feng], Yuan, L.[Lu], Peng, N.[Nanyun], Wang, L.J.[Li-Juan], Lee, Y.J.[Yong Jae], Gao, J.F.[Jian-Feng],
Generalized Decoding for Pixel, Image, and Language,
CVPR23(15116-15127)
IEEE DOI 2309

WWW Link. BibRef

Wang, D.D.[Dong-Dong], Gong, B.Q.[Bo-Qing], Wang, L.Q.[Li-Qiang],
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm,
CVPR23(23652-23662)
IEEE DOI 2309
BibRef

de Jorge, P.[Pau], Volpi, R.[Riccardo], Torr, P.H.S.[Philip H.S.], Rogez, G.[Grégory],
Reliability in Semantic Segmentation: Are we on the Right Track?,
CVPR23(7173-7182)
IEEE DOI 2309
BibRef

Yi, M.[Muyang], Cui, Q.[Quan], Wu, H.[Hao], Yang, C.[Cheng], Yoshie, O.[Osamu], Lu, H.T.[Hong-Tao],
A Simple Framework for Text-Supervised Semantic Segmentation,
CVPR23(7071-7080)
IEEE DOI 2309
BibRef

Liu, X.Y.[Xin-Yu], Tian, B.[Beiwen], Wang, Z.[Zhen], Wang, R.[Rui], Sheng, K.[Kehua], Zhang, B.[Bo], Zhao, H.[Hao], Zhou, G.[Guyue],
Delving into Shape-aware Zero-shot Semantic Segmentation,
CVPR23(2999-3009)
IEEE DOI 2309
BibRef

Yun, S.[Sukmin], Park, S.H.[Seong Hyeon], Seo, P.H.[Paul Hongsuck], Shin, J.[Jinwoo],
IFSeg: Image-free Semantic Segmentation via Vision-Language Model,
CVPR23(2967-2977)
IEEE DOI 2309
BibRef

Zhang, J.M.[Jia-Ming], Liu, R.P.[Rui-Ping], Shi, H.[Hao], Yang, K.L.[Kai-Lun], Reiß, S.[Simon], Peng, K.Y.[Kun-Yu], Fu, H.D.[Hao-Dong], Wang, K.W.[Kai-Wei], Stiefelhagen, R.[Rainer],
Delivering Arbitrary-Modal Semantic Segmentation,
CVPR23(1136-1147)
IEEE DOI 2309
BibRef

Dong, A.[Aimei], Liu, S.[Sidi],
Research on Multi-task Semantic Segmentation Based on Attention and Feature Fusion Method,
MMMod23(II: 362-373).
Springer DOI 2304
BibRef

Zheng, Z.S.[Zi-Shuo], Lin, C.Y.[Chun-Yu], Nie, L.[Lang], Liao, K.[Kang], Shen, Z.J.[Zhi-Jie], Zhao, Y.[Yao],
Complementary Bi-directional Feature Compression for Indoor 360° Semantic Segmentation with Self-distillation,
WACV23(4490-4499)
IEEE DOI 2302
Visualization, Image coding, Semantic segmentation, Bidirectional control, Distortion, Feature extraction, Virtual/augmented reality BibRef

Shen, F.Y.[Feng-Yi], Pataki, Z.[Zador], Gurram, A.[Akhil], Liu, Z.Y.[Zi-Yuan], Wang, H.[He], Knoll, A.[Alois],
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation,
WACV23(3255-3265)
IEEE DOI 2302
Training, Adaptation models, Codes, Semantic segmentation, Semantics, Pipelines, Algorithms: Machine learning architectures, visual reasoning BibRef

Sacha, M.[Mikolaj], Rymarczyk, D.[Dawid], Struski, L.[Lukasz], Tabor, J.[Jacek], Zielinski, B.[Bartosz],
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts,
WACV23(1481-1492)
IEEE DOI 2302
Training, Adaptation models, Semantic segmentation, Semantics, Prototypes, Algorithms: Explainable, fair, accountable, visual reasoning BibRef

Kanakis, M.[Menelaos], Huang, T.E.[Thomas E.], Brüggemann, D.[David], Yu, F.[Fisher], Van Gool, L.J.[Luc J.],
Composite Learning for Robust and Effective Dense Predictions,
WACV23(2298-2307)
IEEE DOI 2302
Training, Semantic segmentation, Estimation, Multitasking, Robustness, Labeling, Algorithms: Machine learning architectures, and algorithms (including transfer) BibRef

Brüggemann, D.[David], Sakaridis, C.[Christos], Truong, P.[Prune], Van Gool, L.J.[Luc J.],
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions,
WACV23(3173-3183)
IEEE DOI 2302
Training, Visualization, Uncertainty, Semantic segmentation, Semantics, Refining, Robotics BibRef

Endo, K.[Kazuki], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Semantic Segmentation of Degraded Images Using Layer-Wise Feature Adjustor,
WACV23(3204-3212)
IEEE DOI 2302
Degradation, Knowledge engineering, Image recognition, Semantic segmentation, Surveillance, Transform coding, segmentation) BibRef

Wang, Z.C.[Zi-Chao], Jiang, Z.Y.[Zhi-Yu], Yuan, Y.[Yuan],
Prototype Queue Learning for Multi-Class Few-Shot Semantic Segmentation,
ICIP22(1721-1725)
IEEE DOI 2211
Prototypes, Self-supervised learning, Feature extraction, Task analysis, Few-shot segmentation, Multi-class segmentation, Semantic segmentation BibRef

Kwon, H.[Hyeongjun], Song, T.[Taeyong], Kim, S.[Sunok], Sohn, K.H.[Kwang-Hoon],
Mask-Guided Attention and Episode Adaptive Weights for Few-Shot Segmentation,
ICIP22(2611-2615)
IEEE DOI 2211
Training, Image segmentation, Adaptation models, Benchmark testing, Feature extraction, Data mining, Few-shot segmentation, adaptive learning BibRef

Yang, X.H.[Xin-Hao], Ma, L.Y.[Li-Yan], Zhou, Y.[Yang], Peng, Y.[Yan], Xie, S.R.[Shao-Rong],
Prior Semantic Harmonization Network for Few-Shot Semantic Segmentation,
ICIP22(1126-1130)
IEEE DOI 2211
Correlation, Semantics, Few-shot segmentation, Semantic harmonization, Feature activation, Hierarchical aggregation BibRef

Kuhn, C.B.[Christopher B.], Hofbauer, M.[Markus], Petrovic, G.[Goran], Steinbach, E.[Eckehard],
Reverse Error Modeling for Improved Semantic Segmentation,
ICIP22(106-110)
IEEE DOI 2211
Image coding, Semantics, Predictive models, Data models, Image reconstruction, Testing, Semantic Segmentation, Error Correction BibRef

Xu, M.D.[Meng-De], Zhang, Z.[Zheng], Wei, F.Y.[Fang-Yun], Lin, Y.T.[Yu-Tong], Cao, Y.[Yue], Hu, H.[Han], Bai, X.[Xiang],
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model,
ECCV22(XXIX:736-753).
Springer DOI 2211
BibRef

Lin, Z.H.[Zi-Han], Wang, Z.L.[Zi-Lei], Zhang, Y.X.[Yi-Xin],
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment,
ECCV22(XXIX:345-361).
Springer DOI 2211
BibRef

Pissas, T.[Theodoros], Ravasio, C.S.[Claudio S.], da Cruz, L.[Lyndon], Bergeles, C.[Christos],
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation,
ECCV22(XXIX:413-429).
Springer DOI 2211
BibRef

Wu, T.[Tong], Gao, G.Y.[Guang-Yu], Huang, J.[Junshi], Wei, X.L.[Xiao-Lin], Wei, X.M.[Xiao-Ming], Liu, C.H.[Chi Harold],
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation,
ECCV22(XXIX:199-216).
Springer DOI 2211
BibRef

Yin, Z.Y.[Zhao-Yuan], Wang, P.[Pichao], Wang, F.[Fan], Xu, X.Z.[Xian-Zhe], Zhang, H.L.[Han-Ling], Li, H.[Hao], Jin, R.[Rong],
TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation,
ECCV22(XXIX:73-89).
Springer DOI 2211
BibRef

Wang, F.[Feng], Wang, H.Y.[Hui-Yu], Wei, C.[Chen], Yuille, A.L.[Alan L.], Shen, W.[Wei],
CP 2: Copy-Paste Contrastive Pretraining for Semantic Segmentation,
ECCV22(XXX:499-515).
Springer DOI 2211
BibRef

Yang, F.Y.[Feng-Yu], Ma, C.Y.[Chen-Yang],
Sparse and Complete Latent Organization for Geospatial Semantic Segmentation,
CVPR22(1799-1808)
IEEE DOI 2210
Image segmentation, Computational modeling, Semantics, Prototypes, Organizations, Geospatial analysis, Photogrammetry and remote sensing BibRef

Bär, A.[Andreas], Klingner, M.[Marvin], Löhdefink, J.[Jonas], Hüger, F.[Fabian], Schlicht, P.[Peter], Fingscheidt, T.[Tim],
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder,
WAD22(4398-4407)
IEEE DOI 2210
Training, Image segmentation, Semantics, Supervised learning, Training data, Benchmark testing, Sensors BibRef

Liu, S.A.[Sun-Ao], Xie, H.T.[Hong-Tao], Xu, H.[Hai], Zhang, Y.D.[Yong-Dong], Tian, Q.[Qi],
Partial Class Activation Attention for Semantic Segmentation,
CVPR22(16815-16824)
IEEE DOI 2210
Location awareness, Image segmentation, Codes, Semantics, Benchmark testing, grouping and shape analysis BibRef

Ding, J.[Jian], Xue, N.[Nan], Xia, G.S.[Gui-Song], Dai, D.X.[Deng-Xin],
Decoupling Zero-Shot Semantic Segmentation,
CVPR22(11573-11582)
IEEE DOI 2210
Training, Image segmentation, Codes, Shape, Semantics, Segmentation, grouping and shape analysis BibRef

Zhao, Y.Y.[Yu-Yang], Zhong, Z.[Zhun], Sebe, N.[Nicu], Lee, G.H.[Gim Hee],
Novel Class Discovery in Semantic Segmentation,
CVPR22(4330-4339)
IEEE DOI 2210
Training, Image segmentation, Uncertainty, Shape, Semantics, Self-supervised learning, Benchmark testing, Segmentation, Self- semi- meta- Transfer/low-shot/long-tail learning BibRef

Jin, Z.C.[Zhen-Chao], Liu, B.[Bin], Chu, Q.[Qi], Yu, N.H.[Neng-Hai],
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation,
ICCV21(7169-7178)
IEEE DOI 2203
Image segmentation, Visualization, Lips, Aggregates, Semantics, Benchmark testing, Segmentation, grouping and shape, BibRef

Zhang, Y.[Yu], Zhang, C.B.[Chang-Bin], Jiang, P.T.[Peng-Tao], Cheng, M.M.[Ming-Ming], Mao, F.[Feng],
Personalized Image Semantic Segmentation,
ICCV21(10529-10539)
IEEE DOI 2203
Image segmentation, Correlation, Codes, Semantics, Datasets and evaluation, Segmentation, grouping and shape BibRef

Jain, S.[Shipra], Paudel, D.P.[Danda Pani], Danelljan, M.[Martin], Van Gool, L.J.[Luc J.],
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU,
ICCV21(7406-7416)
IEEE DOI 2203
Training, Image segmentation, Computational modeling, Scalability, Semantics, Graphics processing units, Object detection, Representation learning BibRef

Hsiao, C.W.[Chi-Wei], Sun, C.[Cheng], Chen, H.T.[Hwann-Tzong], Sun, M.[Min],
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation,
ICCV21(7117-7126)
IEEE DOI 2203
Fuses, Aggregates, Semantics, Task analysis, Segmentation, grouping and shape BibRef

Zhang, D.[Dong], Zhang, H.W.[Han-Wang], Tang, J.H.[Jin-Hui], Hua, X.S.[Xian-Sheng], Sun, Q.[Qianru],
Self-Regulation for Semantic Segmentation,
ICCV21(6933-6943)
IEEE DOI 2203
Training, Visualization, Computational modeling, Semantics, Neural networks, Performance gain, Segmentation, Scene analysis and understanding BibRef

Garcia, R.L., Happ, P.N., Feitosa, R.Q.,
Large Scale Semantic Segmentation of Virtual Environments to Facilitate Corrosion Management,
ISPRS21(B2-2021: 465-470).
DOI Link 2201
BibRef

Pang, Y.T.[Yu-Ting], Chang, J.[Jui], Hsu, C.T.[Chiou-Ting],
Self-Guided Adversarial Learning for Domain Adaptive Semantic Segmentation,
ICIP21(2249-2253)
IEEE DOI 2201
Learning systems, Image segmentation, Adaptation models, Semantics, Benchmark testing, Reliability, Unsupervised domain adaptation, self-guided adversarial learning BibRef

Shiau, Z.Y.[Zu-Yun], Lin, W.W.[Wei-Wei], Lin, C.S.[Ci-Siang], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation,
ICIP21(2244-2248)
IEEE DOI 2201
Adaptation models, Visualization, Image segmentation, Semantics, Benchmark testing, Feature extraction, domain generalization BibRef

Lee, H.J.[Hong Joo], Ro, Y.M.[Yong Man],
Adversarially Robust Multi-Sensor Fusion Model Training Via Random Feature Fusion for Semantic Segmentation,
ICIP21(339-343)
IEEE DOI 2201
Training, Image segmentation, Semantics, Data integration, Object detection, Feature extraction, Multi-sensor data fusion, random feature fusion BibRef

Aakerberg, A.[Andreas], Johansen, A.S.[Anders S.], Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
Single-Loss Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution,
CAIP21(II:403-411).
Springer DOI 2112
BibRef

Cho, J.H.[Jang Hyun], Mall, U.[Utkarsh], Bala, K.[Kavita], Hariharan, B.[Bharath],
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering,
CVPR21(16789-16799)
IEEE DOI 2111
Training, Visualization, Image segmentation, Codes, Clustering methods, Semantics BibRef

Huynh, C.[Chuong], Tran, A.T.[Anh Tuan], Luu, K.[Khoa], Hoai, M.[Minh],
Progressive Semantic Segmentation,
CVPR21(16750-16759)
IEEE DOI 2111
Image segmentation, Image resolution, Codes, Magnetic separation, Magnetic resonance imaging, Semantics BibRef

Teja, S.P.[S. Prabhu], Fleuret, F.[François],
Uncertainty Reduction for Model Adaptation in Semantic Segmentation,
CVPR21(9608-9618)
IEEE DOI 2111
Image segmentation, Adaptation models, Uncertainty, Semantics, Urban areas, Feature extraction, Data models BibRef

Li, S.[Shuang], Gong, K.X.[Kai-Xiong], Liu, C.H.[Chi Harold], Wang, Y.L.[Yu-Lin], Qiao, F.[Feng], Cheng, X.J.[Xin-Jing],
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition,
CVPR21(5208-5217)
IEEE DOI 2111
Training, Visualization, Semantics, Supervised learning, Training data, Benchmark testing BibRef

Ma, H.Y.[Hao-Yu], Lin, X.R.[Xiang-Ru], Wu, Z.F.[Zi-Feng], Yu, Y.Z.[Yi-Zhou],
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization,
CVPR21(4050-4059)
IEEE DOI 2111
Image segmentation, Adaptation models, Annotations, Computational modeling, Semantics, Pipelines BibRef

Hänsch, R.[Ronny],
Looking Outside the Box: The Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images,
GCPR20(260-274).
Springer DOI 2110
BibRef

Theodoridou, C.[Christina], Kargakos, A.[Andreas], Kostavelis, I.[Ioannis], Giakoumis, D.[Dimitrios], Tzovaras, D.[Dimitrios],
Spatially-Constrained Semantic Segmentation with Topological Maps and Visual Embeddings,
CVS21(117-129).
Springer DOI 2109
BibRef

Szabó, A.[Attila], Jamali-Rad, H.[Hadi], Mannava, S.D.[Siva-Datta],
Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation,
RCV21(2305-2310)
IEEE DOI 2109
Semantics, Performance analysis, Risk management BibRef

Tavera, A.[Antonio], Cermelli, F.[Fabio], Masone, C.[Carlo], Caputo, B.[Barbara],
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation,
WACV22(1959-1968)
IEEE DOI 2202
Training, Image segmentation, Semantics, Benchmark testing, Task analysis, Standards, Segmentation, Grouping and Shape Scene Understanding BibRef

Fontanel, D.[Dario], Cermelli, F.[Fabio], Mancini, M.[Massimiliano], Caputo, B.[Barbara],
Detecting Anomalies in Semantic Segmentation with Prototypes,
SAIAD21(113-121)
IEEE DOI 2109
Training, Visualization, Computational modeling, Semantics, Prototypes BibRef

Patel, Y.[Yash], Appalaraju, S.[Srikar], Manmatha, R.,
Saliency Driven Perceptual Image Compression,
WACV21(227-236)
IEEE DOI 2106
Measurement, Image segmentation, Image coding, Computational modeling, Bit rate BibRef

Zhang, B.[Bin], Zhao, S.J.[Sheng-Jie], Zhang, R.Q.[Rong-Qing],
Cross-Domain Semantic Segmentation of Urban Scenes via Multi-Level Feature Alignment,
ICPR21(1912-1917)
IEEE DOI 2105
Image segmentation, Solid modeling, Semantics, Neural networks, Virtual reality, Feature extraction, Robustness BibRef

Zhang, Y.F.[Yi-Fei], Sidibé, D.[Désiré], Morel, O.[Olivier], Meriaudeau, F.[Fabrice],
Multiscale Attention-Based Prototypical Network For Few-Shot Semantic Segmentation,
ICPR21(7372-7378)
IEEE DOI 2105
Training, Image segmentation, Adaptation models, Annotations, Semantics, Prototypes, Feature extraction BibRef

Nie, D.[Dong], Xue, J.[Jia], Ren, X.F.[Xiao-Feng],
Bidirectional Pyramid Networks for Semantic Segmentation,
ACCV20(I:654-671).
Springer DOI 2103
BibRef

Ouni, A.[Achref], Royer, E.[Eric], Chevaldonné, M.[Marc], Dhome, M.[Michel],
A Hybrid Approach for Improved Image Similarity Using Semantic Segmentation,
ISVC20(II:647-657).
Springer DOI 2103
BibRef

Mozaffari, M.H.[M. Hamed], Lee, W.S.[Won-Sook],
Semantic Segmentation with Peripheral Vision,
ISVC20(II:421-429).
Springer DOI 2103
BibRef

Huang, Y., Tang, Z., Su, K.,
Balance-batch: An Optimized Method for Semantic Segmentation Loss Functions,
CVIDL20(342-346)
IEEE DOI 2102
feature extraction, image classification, image representation, image segmentation, learning (artificial intelligence), loss function BibRef

Jiang, S.L., Li, G., Yao, W., Hong, Z.H., Kuc, T.Y.,
Dual Pyramids Encoder-decoder Network for Semantic Segmentation In Ground and Aerial View Images,
ISPRS20(B2:605-610).
DOI Link 2012
BibRef

Chen, W.L.[Wan-Li], Zhu, X.G.[Xin-Ge], Sun, R.Q.[Ruo-Qi], He, J.J.[Jun-Jun], Li, R.Y.[Rui-Yu], Shen, X.Y.[Xiao-Yong], Yu, B.[Bei],
Tensor Low-rank Reconstruction for Semantic Segmentation,
ECCV20(XVII:52-69).
Springer DOI 2011
BibRef

Hu, H.Z.[Han-Zhe], Ji, D.Y.[De-Yi], Gan, W.H.[Wei-Hao], Bai, S.[Shuai], Wu, W.[Wei], Yan, J.J.[Jun-Jie],
Class-wise Dynamic Graph Convolution for Semantic Segmentation,
ECCV20(XVII:1-17).
Springer DOI 2011
BibRef

Yin, M.H.[Ming-Hao], Yao, Z.L.[Zhu-Liang], Cao, Y.[Yue], Li, X.[Xiu], Zhang, Z.[Zheng], Lin, S.[Stephen], Hu, H.[Han],
Disentangled Non-local Neural Networks,
ECCV20(XV:191-207).
Springer DOI 2011
Code, Segmentation.
WWW Link.
WWW Link. BibRef

Lehman, C., Temel, D., Alregib, G.,
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption,
ICIP20(3239-3243)
IEEE DOI 2011
Robustness, Semantics, Entropy, Training, Estimation, Task analysis, Machine learning, Robustness in Machine Learning, Sigmoid BibRef

Li, S., Zhou, Q., Liu, J., Wang, J., Fan, Y., Wu, X., Latecki, L.J.,
DCM: A Dense-Attention Context Module For Semantic Segmentation,
ICIP20(1431-1435)
IEEE DOI 2011
Convolution, Feature extraction, Semantics, Data mining, Image segmentation, Kernel, Decoding, Semantic segmentation, Attention BibRef

Wang, Y.K.[Yu-Kang], Zhou, W.[Wei], Jiang, T.[Tao], Bai, X.[Xiang], Xu, Y.C.[Yong-Chao],
Intra-class Feature Variation Distillation for Semantic Segmentation,
ECCV20(VII:346-362).
Springer DOI 2011
BibRef

Michieli, U.[Umberto], Borsato, E.[Edoardo], Rossi, L.[Luca], Zanuttigh, P.[Pietro],
Gmnet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild,
ECCV20(VIII:397-414).
Springer DOI 2011
BibRef

Yang, B.[Boyu], Liu, C.[Chang], Li, B.[Bohao], Jiao, J.B.[Jian-Bin], Ye, Q.X.[Qi-Xiang],
Prototype Mixture Models for Few-shot Semantic Segmentation,
ECCV20(VIII:763-778).
Springer DOI 2011
BibRef

Yuan, Y.H.[Yu-Hui], Chen, X.L.[Xi-Lin], Wang, J.D.[Jing-Dong],
Object-contextual Representations for Semantic Segmentation,
ECCV20(VI:173-190).
Springer DOI 2011
BibRef

Kamann, C.[Christoph], Rother, C.[Carsten],
Increasing the Robustness of Semantic Segmentation Models with Painting-by-numbers,
ECCV20(X:369-387).
Springer DOI 2011
BibRef

Liu, Y.F.[Yong-Fei], Zhang, X.Y.[Xiang-Yi], Zhang, S.Y.[Song-Yang], He, X.M.[Xu-Ming],
Part-aware Prototype Network for Few-Shot Semantic Segmentation,
ECCV20(IX:142-158).
Springer DOI 2011
BibRef

He, Y.[Yang], Rahimian, S.[Shadi], Schiele, B.[Bernt], Fritz, M.[Mario],
Segmentations-leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation,
ECCV20(XXIII:519-535).
Springer DOI 2011
BibRef

Xia, Y.D.[Ying-Da], Zhang, Y.[Yi], Liu, F.Z.[Feng-Ze], Shen, W.[Wei], Yuille, A.L.[Alan L.],
Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation,
ECCV20(I:145-161).
Springer DOI 2011
BibRef

Cheng, H.K.[Ho Kei], Chung, J.H.[Ji-Hoon], Tai, Y.W.[Yu-Wing], Tang, C.K.[Chi-Keung],
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement,
CVPR20(8887-8896)
IEEE DOI 2008
Image segmentation, Image resolution, Semantics, Computational modeling, Task analysis, Adaptation models, Feature extraction BibRef

Oberdiek, P., Rottmann, M., Fink, G.A.,
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation,
SAIAD20(1331-1340)
IEEE DOI 2008
Image segmentation, Feature extraction, Semantics, Visualization, Agriculture, Machine learning, Image retrieval BibRef

Kamann, C., Rother, C.,
Benchmarking the Robustness of Semantic Segmentation Models,
CVPR20(8825-8835)
IEEE DOI 2008
Robustness, Semantics, Computer architecture, Image segmentation, Feature extraction, Benchmark testing, Cameras BibRef

Siddiqui, Y., Valentin, J., Nießner, M.,
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation,
CVPR20(9430-9440)
IEEE DOI 2008
Entropy, Uncertainty, Semantics, Labeling, Image segmentation, Task analysis, Data models BibRef

Zhang, Y., Qiu, Z., Yao, T., Ngo, C., Liu, D., Mei, T.,
Transferring and Regularizing Prediction for Semantic Segmentation,
CVPR20(9618-9627)
IEEE DOI 2008
Semantics, Image segmentation, Roads, Buildings, Visualization, Labeling, Adaptation models BibRef

Araslanov, N., Roth, S.,
Single-Stage Semantic Segmentation From Image Labels,
CVPR20(4252-4261)
IEEE DOI 2008
Image segmentation, Training, Semantics, Task analysis, Logic gates, Stochastic processes, Decoding BibRef

Wang, L., Li, D., Zhu, Y., Tian, L., Shan, Y.,
Dual Super-Resolution Learning for Semantic Segmentation,
CVPR20(3773-3782)
IEEE DOI 2008
Semantics, Image segmentation, Spatial resolution, Task analysis, Pose estimation, Convolution BibRef

Rai, S.N., Balasubramanian, V.N., Subramanian, A., Jawahar, C.V.,
Munich to Dubai: How far is it for Semantic Segmentation?,
WACV20(2988-2997)
IEEE DOI 2006
Image restoration, Image segmentation, Atmospheric modeling, Meteorology, Semantics, Adaptation models, Training BibRef

Du, Y.M.[Yu-Ming], Xiao, Y.[Yang], Lepetit, V.[Vincent],
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos,
ICCV21(3355-3364)
IEEE DOI 2203
Training, Shape, Video sequences, Training data, Manuals, Object segmentation, Object detection, grouping and shape BibRef

Lin, H.[Hubert], Upchurch, P.[Paul], Bala, K.[Kavita],
Block Annotation: Better Image Annotation With Sub-Image Decomposition,
ICCV19(5289-5299)
IEEE DOI 2004
Generate the data needed to do semantic segmentation. image retrieval, image segmentation, image texture, block annotation, high-quality pixel-level annotations, Quality control BibRef

Cheng, B., Chen, L., Wei, Y., Zhu, Y., Huang, Z., Xiong, J., Huang, T., Hwu, W., Shi, H., Uiuc, U.,
SPGNet: Semantic Prediction Guidance for Scene Parsing,
ICCV19(5217-5227)
IEEE DOI 2004
feature extraction, image coding, image segmentation, learning (artificial intelligence), pose estimation, Feature extraction BibRef

Pang, Y., Li, Y., Shen, J., Shao, L.,
Towards Bridging Semantic Gap to Improve Semantic Segmentation,
ICCV19(4229-4238)
IEEE DOI 2004
feature extraction, image enhancement, image fusion, image representation, image segmentation, object detection, Convolution BibRef

Zhang, C., Liwicki, S., Smith, W., Cipolla, R.,
Orientation-Aware Semantic Segmentation on Icosahedron Spheres,
ICCV19(3532-3540)
IEEE DOI 2004
convolutional neural nets, feature extraction, image classification, image resolution, image segmentation, Task analysis BibRef

Nakajima, Y., Kang, B., Saito, H., Kitani, K.,
Incremental Class Discovery for Semantic Segmentation With RGBD Sensing,
ICCV19(972-981)
IEEE DOI 2004
image colour analysis, image representation, image segmentation, learning (artificial intelligence), object recognition, Image color analysis BibRef

Han, Q.Y.[Qiu-Yuan], Zheng, J.[Jin],
Multi-scale Spatial Location Preference for Semantic Segmentation,
MMMod20(I:593-604).
Springer DOI 2003
BibRef

Jiao, J.B.[Jian-Bo], Wei, Y.C.[Yun-Chao], Jie, Z.Q.[Ze-Qun], Shi, H.H.[Hong-Hui], Lau, R.W.H.[Rynson W.H.], Huang, T.S.[Thomas S.],
Geometry-Aware Distillation for Indoor Semantic Segmentation,
CVPR19(2864-2873).
IEEE DOI 2002
BibRef

Liu, Y.F.[Yi-Fan], Chen, K.[Ke], Liu, C.[Chris], Qin, Z.C.[Zeng-Chang], Luo, Z.B.[Zhen-Bo], Wang, J.D.[Jing-Dong],
Structured Knowledge Distillation for Semantic Segmentation,
CVPR19(2599-2608).
IEEE DOI 2002
BibRef

Tian, Z.[Zhi], He, T.[Tong], Shen, C.H.[Chun-Hua], Yan, Y.[Youliang],
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation,
CVPR19(3121-3130).
IEEE DOI 2002
BibRef

Zhou, Y.Z.[Yi-Zhou], Sun, X.Y.[Xiao-Yan], Zha, Z.J.[Zheng-Jun], Zeng, W.J.[Wen-Jun],
Context-Reinforced Semantic Segmentation,
CVPR19(4041-4050).
IEEE DOI 2002
BibRef

Zhang, Z.Y.[Zhen-Yu], Cui, Z.[Zhen], Xu, C.Y.[Chun-Yan], Yan, Y.[Yan], Sebe, N.[Nicu], Yang, J.[Jian],
Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation,
CVPR19(4101-4110).
IEEE DOI 2002
BibRef

Zhang, H.[Hang], Zhang, H.[Han], Wang, C.G.[Chen-Guang], Xie, J.Y.[Jun-Yuan],
Co-Occurrent Features in Semantic Segmentation,
CVPR19(548-557).
IEEE DOI 2002
BibRef

Chang, W.L.[Wei-Lun], Wang, H.P.[Hui-Po], Peng, W.H.[Wen-Hsiao], Chiu, W.C.[Wei-Chen],
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation,
CVPR19(1900-1909).
IEEE DOI 2002
BibRef

Schmitz, M., Brandenburger, W., Mayer, H.,
Semantic Segmentation of Airborne Images and Corresponding Digital Surface Models - Additional Input Data Or Additional Task?,
PIA19(195-200).
DOI Link 1912
BibRef

Huang, Y., Proesmans, M., Georgoulis, S., Van Gool, L.J.,
Uncertainty based model selection for fast semantic segmentation,
MVA19(1-6)
DOI Link 1911
entropy, image segmentation, inference mechanisms, semantic labels, baseline model, reasonable inference speeds, Entropy BibRef

Bevandic, P.[Petra], Krešo, I.[Ivan], Oršic, M.[Marin], Šegvic, S.[Siniša],
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift,
GCPR19(33-47).
Springer DOI 1911
BibRef

Russo, P.[Paolo], Tommasi, T.[Tatiana], Caputo, B.[Barbara],
Towards Multi-source Adaptive Semantic Segmentation,
CIAP19(I:292-301).
Springer DOI 1909
BibRef

Zhuang, P.C.[Peng-Cheng], Sekikawa, Y.[Yusuke], Hara, K.[Kosuke], Saito, H.[Hideo],
Learning an Optimisable Semantic Segmentation Map with Image Conditioned Variational Autoencoder,
CIAP19(II:379-389).
Springer DOI 1909
BibRef

Dias, P.A.[Philipe Ambrozio], Medeiros, H.[Henry],
Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections,
ACCV18(II:131-146).
Springer DOI 1906
BibRef

Falcăo, A.X.[Alexandre X.], Bragantini, J.[Jordăo],
The Role of Optimum Connectivity in Image Segmentation: Can the Algorithm Learn Object Information During the Process?,
DGCI19(180-194).
Springer DOI 1905
Feature space and image domain linkage. BibRef

Guan, H., Zhang, Z., Tan, T.,
Inception Donut Convolution for Top-down Semantic Segmentation,
ICPR18(2492-2497)
IEEE DOI 1812
convolution, feature extraction, feedforward neural nets, image representation, image segmentation, Streaming media BibRef

Tsai, Y., Hung, W., Schulter, S., Sohn, K., Yang, M., Chandraker, M.,
Learning to Adapt Structured Output Space for Semantic Segmentation,
CVPR18(7472-7481)
IEEE DOI 1812
Image segmentation, Semantics, Adaptation models, Task analysis, Training, Prediction algorithms, Layout BibRef

Muralikrishnan, S., Kim, V.G., Chaudhuri, S.,
Tags2Parts: Discovering Semantic Regions from Shape Tags,
CVPR18(2926-2935)
IEEE DOI 1812
Shape, Computer architecture, Image segmentation, Convolution, Semantics, Training BibRef

Bilinski, P., Prisacariu, V.[Victor],
Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation,
CVPR18(6596-6605)
IEEE DOI 1812
Decoding, Semantics, Image segmentation, Architecture, Computer architecture, Fuses, Spatial resolution BibRef

Zhang, H., Dana, K., Shi, J., Zhang, Z., Wang, X., Tyagi, A., Agrawal, A.,
Context Encoding for Semantic Segmentation,
CVPR18(7151-7160)
IEEE DOI 1812
Encoding, Semantics, Convolution, Image segmentation, Training, Image coding, Feature extraction BibRef

Casanova, A., Cucurull, G., Drozdzal, M., Romero, A., Bengio, Y.,
On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation,
AutoDrive18(1091-109109)
IEEE DOI 1812
Semantics, Spatial resolution, Computer architecture, Convolutional codes, Computational modeling, Image segmentation BibRef

Huang, Y., Jia, X., Georgoulis, S., Tuytelaars, T., Van Gool, L.J.,
Error Correction for Dense Semantic Image Labeling,
AutoDrive18(1111-11118)
IEEE DOI 1812
Image segmentation, Labeling, Task analysis, Semantics, Error correction, Pipelines, Probability distribution BibRef

Yang, M., Yu, K., Zhang, C., Li, Z., Yang, K.,
DenseASPP for Semantic Segmentation in Street Scenes,
CVPR18(3684-3692)
IEEE DOI 1812
Convolution, Semantics, Image resolution, Kernel, Image segmentation, Neurons, Autonomous vehicles BibRef

Matsuzuki, D.[Daisuke], Hotta, K.[Kazuhiro],
Semantic Segmentation by Integrating Classifiers for Different Difficulty Levels,
ISVC18(607-615).
Springer DOI 1811
BibRef

Ke, T.W.[Tsung-Wei], Hwang, J.J.[Jyh-Jing], Liu, Z.W.[Zi-Wei], Yu, S.X.[Stella X.],
Adaptive Affinity Fields for Semantic Segmentation,
ECCV18(I: 605-621).
Springer DOI 1810
BibRef

Lin, D.[Di], Ji, Y.F.[Yuan-Feng], Lischinski, D.[Dani], Cohen-Or, D.[Daniel], Huang, H.[Hui],
Multi-scale Context Intertwining for Semantic Segmentation,
ECCV18(III: 622-638).
Springer DOI 1810
BibRef

Zhu, X.G.[Xin-Ge], Zhou, H.[Hui], Yang, C.Y.[Ce-Yuan], Shi, J.P.[Jian-Ping], Lin, D.[Dahua],
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation,
ECCV18(VII: 587-603).
Springer DOI 1810
BibRef

Zhang, Z.Y.[Zhen-Yu], Cui, Z.[Zhen], Xu, C.Y.[Chun-Yan], Jie, Z.Q.[Ze-Qun], Li, X.[Xiang], Yang, J.[Jian],
Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation,
ECCV18(X: 238-255).
Springer DOI 1810
BibRef

Zhang, Z.L.[Zhen-Li], Zhang, X.Y.[Xiang-Yu], Peng, C.[Chao], Xue, X.Y.[Xiang-Yang], Sun, J.[Jian],
ExFuse: Enhancing Feature Fusion for Semantic Segmentation,
ECCV18(X: 273-288).
Springer DOI 1810
BibRef

Sulimowicz, L., Ahmad, I., Aved, A.,
Superpixel-Enhanced Pairwise Conditional Random Field for Semantic Segmentation,
ICIP18(271-275)
IEEE DOI 1809
Image segmentation, Semantics, Kernel, Labeling, Robustness, Visualization, Image color analysis, and Higher-order CRFs BibRef

Lu, L.H.[Li-Hsien], Hsu, C.T.[Chiou-Ting],
Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised andxs Transferrable Knowledge,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Cui, Z., Zhang, Q., Geng, S., Niu, X., Yang, J., Qiao, Y.,
Semantic segmentation with multi-path refinement and pyramid pooling dilated-resnet,
ICIP17(3100-3104)
IEEE DOI 1803
Computer architecture, Convolution, Feature extraction, Image segmentation, Semantics, Task analysis, Training, Segmentation BibRef

Shen, F., Gan, R., Yan, S., Zeng, G.,
Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF,
CVPR17(5178-5186)
IEEE DOI 1711
Complexity theory, Image segmentation, Message passing, Predictive models, Semantics, Training BibRef

Wigness, M., Rogers, J.G.,
Unsupervised Semantic Scene Labeling for Streaming Data,
CVPR17(5910-5919)
IEEE DOI 1711
Adaptation models, Data models, Image segmentation, Labeling, Semantics, Streaming media, Visualization BibRef

Bulň, S.R., Neuhold, G., Kontschieder, P.,
Loss Max-Pooling for Semantic Image Segmentation,
CVPR17(7082-7091)
IEEE DOI 1711
Benchmark testing, Image segmentation, Semantics, Standards, Training, Upper, bound BibRef

He, Y.[Yang], Keuper, M.[Margret], Schiele, B.[Bernt], Fritz, M.[Mario],
Learning Dilation Factors for Semantic Segmentation of Street Scenes,
GCPR17(41-51).
Springer DOI 1711
BibRef

Jégou, S.[Simon], Drozdzal, M.[Michal], Vazquez, D.[David], Romero, A.[Adriana], Bengio, Y.[Yoshua],
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation,
CVVT17(1175-1183)
IEEE DOI 1709
Benchmark testing, Computer architecture, Image segmentation, Semantics, Spatial resolution, Standards BibRef

Derue, F.X.[François-Xavier], Dahmane, M.[Mohamed], Lalonde, M.[Marc], Foucher, S.[Samuel],
Exploiting Semantic Segmentation for Robust Camera Motion Classification,
ICIAR17(173-181).
Springer DOI 1706
BibRef

Hazirbas, C.[Caner], Ma, L.N.[Ling-Ni], Domokos, C.[Csaba], Cremers, D.[Daniel],
FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture,
ACCV16(I: 213-228).
Springer DOI 1704
BibRef

Bouachir, W., Torabi, A., Bilodeau, G.A., Blais, P.,
A bag of words approach for semantic segmentation of monitored scenes,
ISIVC16(88-93)
IEEE DOI 1704
Bayes methods BibRef

Souly, N.[Nasim], Shah, M.[Mubarak],
Scene Labeling Using Sparse Precision Matrix,
CVPR16(3650-3658)
IEEE DOI 1612
BibRef

Xu, C., Corso, J.J.[Jason J.],
Actor-Action Semantic Segmentation with Grouping Process Models,
CVPR16(3083-3092)
IEEE DOI 1612
BibRef

Gao, Y.[Yang], Beijbom, O.[Oscar], Zhang, N.[Ning], Darrell, T.J.[Trevor J.],
Compact Bilinear Pooling,
CVPR16(317-326)
IEEE DOI 1612
BibRef

Bearman, A.[Amy], Russakovsky, O.[Olga], Ferrari, V.[Vittorio], Fei-Fei, L.[Li],
What's the Point: Semantic Segmentation with Point Supervision,
ECCV16(VII: 549-565).
Springer DOI 1611
BibRef

Ghiasi, G.[Golnaz], Fowlkes, C.C.[Charless C.],
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation,
ECCV16(III: 519-534).
Springer DOI 1611
BibRef

Fourure, D.[Damien], Emonet, R.[Rémi], Fromont, E.[Elisa], Muselet, D.[Damien], Trémeau, A.[Alain], Wolf, C.[Christian],
Semantic Segmentation via Multi-task, Multi-domain Learning,
SSSPR16(333-343).
Springer DOI 1611
BibRef

Tarashima, S., Pan, J., Irie, G., Kurozumi, T., Kinebuchi, T.,
Joint object discovery and segmentation with image-wise reconstruction error,
ICIP16(849-853)
IEEE DOI 1610
Airplanes BibRef

Zhou, H., Zhang, J.[Jun], Lei, J.[Jun], Li, S.[Shuohao], Tu, D.[Dan],
Image semantic segmentation based on FCN-CRF model,
ICIVC16(9-14)
IEEE DOI 1610
feature extraction BibRef

Tian, Q., Li, B.,
Simultaneous semantic segmentation of a set of partially labeled images,
WACV16(1-9)
IEEE DOI 1606
Computer science BibRef

Qi, X.J.[Xiao-Juan], Liu, Z.Z.[Zheng-Zhe], Shi, J.P.[Jian-Ping], Zhao, H.S.[Heng-Shuang], Jia, J.Y.[Jia-Ya],
Augmented Feedback in Semantic Segmentation Under Image Level Supervision,
ECCV16(VIII: 90-105).
Springer DOI 1611
BibRef

Qi, X.J.[Xiao-Juan], Shi, J.P.[Jian-Ping], Liu, S., Liao, R., Jia, J.Y.[Jia-Ya],
Semantic Segmentation with Object Clique Potential,
ICCV15(2587-2595)
IEEE DOI 1602
Computational modeling BibRef

Caesar, H.[Holger], Uijlings, J.[Jasper], Ferrari, V.[Vittorio],
Region-Based Semantic Segmentation with End-to-End Training,
ECCV16(I: 381-397).
Springer DOI 1611
BibRef
Earlier:
Joint Calibration for Semantic Segmentation,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Srivatsa, R.S.[R. Sai], Babu, R.V.[R. Venkatesh],
Salient object detection via objectness measure,
ICIP15(4481-4485)
IEEE DOI 1512
Image Saliency; Image Segmentation; Objectness Proposals; Superpixels BibRef

Ventura, C.[Carles], Giro-i-Nieto, X.[Xavier], Vilaplana, V.[Veronica], McGuinness, K.[Kevin], Marques, F.[Ferran], O'Connor, N.E.[Noel E.],
Improving spatial codification in semantic segmentation,
ICIP15(3605-3609)
IEEE DOI 1512
Object recognition BibRef

Zhao, N.[Nan], Banerjee, C.[Chaity], Liu, X.W.[Xiu-Wen],
Nano-scale context-sensitive semantic segmentation,
ICIP15(3062-3066)
IEEE DOI 1512
Nano-scale; context-sensitive; microvilli; semantic segmentation; spike BibRef

Dai, J.F.[Ji-Feng], He, K.M.[Kai-Ming], Sun, J.[Jian],
Convolutional feature masking for joint object and stuff segmentation,
CVPR15(3992-4000)
IEEE DOI 1510
BibRef

Mostajabi, M.[Mohammadreza], Yadollahpour, P.[Payman], Shakhnarovich, G.[Gregory],
Feedforward semantic segmentation with zoom-out features,
CVPR15(3376-3385)
IEEE DOI 1510
BibRef

Ardeshir, S.[Shervin], Collins-Sibley, K.M.[Kofi Malcolm], Shah, M.[Mubarak],
Geo-semantic segmentation,
CVPR15(2792-2799)
IEEE DOI 1510
BibRef

Zhu, G.[Gao], Ming, Y.S.[Yan-Sheng], Li, H.D.[Hong-Dong],
Object category detection by incorporating mid-level grouping cues,
ICIP14(1604-1608)
IEEE DOI 1502
Computer vision BibRef

Bassiouny, A.[Ahmed], El-Saban, M.[Motaz],
Semantic segmentation as image representation for scene recognition,
ICIP14(981-985)
IEEE DOI 1502
Accuracy BibRef

Tegen, A.[Agnes], Weegar, R.[Rebecka], Hammarlund, L.[Linus], Oskarsson, M.[Magnus], Jiang, F.Y.[Fang-Yuan], Medved, D.[Dennis], Nugues, P.[Pierre], Astrom, K.[Kalle],
Image Segmentation and Labeling Using Free-Form Semantic Annotation,
ICPR14(2281-2286)
IEEE DOI 1412
Context BibRef

Kroeger, T.[Thorben], Kappes, J.H.[Jörg H.], Beier, T.[Thorsten], Koethe, U.[Ullrich], Hamprecht, F.A.[Fred A.],
Asymmetric Cuts: Joint Image Labeling and Partitioning,
GCPR14(199-211).
Springer DOI 1411
BibRef

Ladicky, L.[Lubor], Shi, J.B.[Jian-Bo], Pollefeys, M.[Marc],
Pulling Things out of Perspective,
CVPR14(89-96)
IEEE DOI 1409
Depth Estimation; Object Recognition; Semantic Segmentation BibRef

Mottaghi, R.[Roozbeh], Chen, X.J.[Xian-Jie], Liu, X.B.[Xiao-Bai], Cho, N.G.[Nam-Gyu], Lee, S.W.[Seong-Whan], Fidler, S.[Sanja], Urtasun, R.[Raquel], Yuille, A.L.[Alan L.],
The Role of Context for Object Detection and Semantic Segmentation in the Wild,
CVPR14(891-898)
IEEE DOI 1409
BibRef

Li, Z.Y.[Zhen-Yang], Gavves, E.[Efstratios], Mensink, T.[Thomas], Snoek, C.G.M.[Cees G.M.],
Attributes Make Sense on Segmented Objects,
ECCV14(VI: 350-365).
Springer DOI 1408
BibRef

Dong, J.[Jian], Chen, Q.A.[Qi-Ang], Yan, S.C.[Shui-Cheng], Yuille, A.L.[Alan L.],
Towards Unified Object Detection and Semantic Segmentation,
ECCV14(V: 299-314).
Springer DOI 1408
Joint detect and segment. BibRef

Riemenschneider, H.[Hayko], Bódis-Szomorú, A.[András], Weissenberg, J.[Julien], Van Gool, L.J.[Luc J.],
Learning Where to Classify in Multi-view Semantic Segmentation,
ECCV14(V: 516-532).
Springer DOI 1408
BibRef

Tao, L.L.[Ling-Ling], Porikli, F.M.[Fatih M.], Vidal, R.[René],
Sparse Dictionaries for Semantic Segmentation,
ECCV14(V: 549-564).
Springer DOI 1408
BibRef

Zhu, S.Q.[Sheng-Qi], Yang, Y.Q.[Yi-Qing], Zhang, L.[Li],
From Label Maps to Label Strokes: Semantic Segmentation for Street Scenes from Incomplete Training Data,
CVCP13(468-475)
IEEE DOI 1403
data handling BibRef

Baek, S.[Seung_Ryul], Lim, T.[Taegyu], Heo, Y.S.[Yong Seok], Park, S.B.[Sung-Bum], Kwak, H.[Hantak], Shim, W.[Woosung],
Superpixel Coherency and Uncertainty Models for Semantic Segmentation,
PGMs13(275-282)
IEEE DOI 1403
computational complexity BibRef

Barron, J.T.[Jonathan T.], Biggin, M.D.[Mark D.], Arbelaez, P.[Pablo], Knowles, D.W.[David W.], Keranen, S.V.E.[Soile V.E.], Malik, J.[Jitendra],
Volumetric Semantic Segmentation Using Pyramid Context Features,
ICCV13(3448-3455)
IEEE DOI 1403
BibRef

Singh, G.[Gautam], Kosecka, J.[Jana],
Introspective semantic segmentation,
WACV14(714-720)
IEEE DOI 1406
BibRef
Earlier:
Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context,
CVPR13(3151-3157)
IEEE DOI 1309
feature relevance; scene understanding; semantic segmentation. Small patches, simple features. Accuracy. BibRef

Csurka, G.[Gabriela], Larlus, D.[Diane], Perronnin, F.[Florent],
What is a good evaluation measure for semantic segmentation?,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Li, F.X.[Fu-Xin], Carreira, J.[Joao], Lebanon, G.[Guy], Sminchisescu, C.[Cristian],
Composite Statistical Inference for Semantic Segmentation,
CVPR13(3302-3309)
IEEE DOI 1309
composite likelihood BibRef

Fröhlich, B.[Björn], Rodner, E.[Erik], Denzler, J.[Joachim],
Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach,
ACCV12(I:218-231).
Springer DOI 1304
BibRef
And:
As Time Goes by: Anytime Semantic Segmentation with Iterative Context Forests,
DAGM12(1-10).
Springer DOI 1209
BibRef

Hariharan, B.[Bharath], Zitnick, C.L.[C. Lawrence], Dollar, P.[Piotr],
Detecting Objects Using Deformation Dictionaries,
CVPR14(1995-2002)
IEEE DOI 1409
BibRef

Fidler, S.[Sanja], Mottaghi, R.[Roozbeh], Yuille, A.L.[Alan L.], Urtasun, R.[Raquel],
Bottom-Up Segmentation for Top-Down Detection,
CVPR13(3294-3301)
IEEE DOI 1309
Object detection; object class recognition; object segmentation BibRef

Yao, J.[Jian], Fidler, S.[Sanja], Urtasun, R.[Raquel],
Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation,
CVPR12(702-709).
IEEE DOI 1208
BibRef

Pohlen, T., Badami, I., Mathias, M., Leibe, B.[Bastian],
Semantic segmentation of modular furniture,
WACV16(1-9)
IEEE DOI 1606
Face BibRef

Floros, G.[Georgios], Rematas, K.[Konstantinos], Leibe, B.[Bastian],
Multi-Class Image Labeling with Top-Down Segmentation and Generalized Robust P^N Potentials,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Passino, G.[Giuseppe], Patras, I.[Ioannis], Izquierdo, E.[Ebroul],
Pyramidal Model for Image Semantic Segmentation,
ICPR10(1554-1557).
IEEE DOI 1008
BibRef

Schnitman, Y.[Yaar], Caspi, Y.[Yaron], Cohen-Or, D.[Daniel], Lischinski, D.[Dani],
Inducing Semantic Segmentation from an Example,
ACCV06(II:373-384).
Springer DOI 0601
BibRef

Zhang, H.H.[Hong-Hui], Xiao, J.X.[Jian-Xiong], Quan, L.[Long],
Supervised Label Transfer for Semantic Segmentation of Street Scenes,
ECCV10(V: 561-574).
Springer DOI 1009
Set of labelled images of street scenes. Recognition is by matching at image level, then using the given lables. BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Open-Vocabulary, Open-World Semantic Segmentation .

Last update:Nov 26, 2024 at 16:40:19