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
Bucher, M.[Maxime],
Vu, T.H.[Tuan-Hung],
Cord, M.[Matthieu],
Pérez, P.[Patrick],
Handling new target classes in semantic segmentation with domain
adaptation,
CVIU(212), 2021, pp. 103258.
Elsevier DOI
2110
Boundless unsupervised domain adaptation,
Generalized zero-shot learning, Self-training, Semantic segmentation
BibRef
Rao, X.[Xiya],
Lu, T.[Tao],
Wang, Z.Y.[Zhong-Yuan],
Zhang, Y.D.[Yan-Duo],
Few-Shot Semantic Segmentation via Frequency Guided Neural Network,
SPLetters(29), 2022, pp. 1092-1096.
IEEE DOI
2205
Semantics, Prototypes, Feature extraction, Image segmentation,
Training, Testing, Merging, Semantic segmentation,
frequency separation
BibRef
Fang, Z.Y.[Zhi-Yuan],
Gao, G.Y.[Guang-Yu],
Zhang, Z.[Zekang],
Zhang, A.[Anqi],
Hierarchical context-agnostic network with contrastive feature
diversity for one-shot semantic segmentation,
JVCIR(90), 2023, pp. 103754.
Elsevier DOI
2301
Semantic segmentation, Few-shot learning,
Unsupervised clustering, Hierarchical pyramid, Background exclusion
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
BibRef
Hu, Y.T.[Yu-Tao],
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
BibRef
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
BibRef
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
BibRef
Chen, Y.D.[Ya-Dang],
Jiang, R.[Ren],
Zheng, Y.H.[Yu-Hui],
Sheng, B.[Bin],
Yang, Z.X.[Zhi-Xin],
Wu, E.[Enhua],
Dual Branch Multi-Level Semantic Learning for Few-Shot Segmentation,
IP(33), 2024, pp. 1432-1447.
IEEE DOI
2402
Prototypes, Training, Semantics, Semantic segmentation,
Self-supervised learning, Feature extraction, Measurement,
metric learning
BibRef
Li, J.Y.[Jing-Yao],
Chen, P.G.[Peng-Guang],
Qian, S.J.[Sheng-Ju],
Liu, S.[Shu],
Jia, J.Y.[Jia-Ya],
TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic
Segmentation,
PAMI(46), No. 12, December 2024, pp. 11287-11297.
IEEE DOI
2411
Semantics, Training, Semantic segmentation, Visualization,
Optimization, Tuning, Transformers,
vision language
BibRef
Zhang, L.[Lin],
Zhang, B.[Bo],
Shi, B.[Botian],
Fan, J.Y.[Jia-Yuan],
Chen, T.[Tao],
Few-Shot Cross-Domain Object Detection with Instance-Level
Prototype-Based Meta-Learning,
CirSysVideo(34), No. 10, October 2024, pp. 9078-9089.
IEEE DOI
2411
Feature extraction, Prototypes, Task analysis, Object detection,
Detectors, Adaptation models, prototype-based
BibRef
Bi, H.[Hanbo],
Feng, Y.C.[Ying-Chao],
Diao, W.H.[Wen-Hui],
Wang, P.[Peijin],
Mao, Y.Q.[Yong-Qiang],
Fu, K.[Kun],
Wang, H.Q.[Hong-Qi],
Sun, X.[Xian],
Prompt-and-Transfer: Dynamic Class-Aware Enhancement for Few-Shot
Segmentation,
PAMI(47), No. 1, January 2025, pp. 131-148.
IEEE DOI
2412
Semantics, Image segmentation, Decoding, Prototypes,
Visual perception, Focusing, Aggregates, Few-shot learning,
semantic segmentation
BibRef
Li, J.G.[Jia-Guang],
Wei, Y.[Ying],
Zhang, W.[Wei],
Wang, C.[Chuyuan],
ESDA: Zero-shot semantic segmentation based on an embedding semantic
space distribution adjustment strategy,
IVC(155), 2025, pp. 105456.
Elsevier DOI Code:
WWW Link.
2503
CLIP, Semantic segmentation, Zero-shot learning, Zero-shot semantic segmentation
BibRef
Jiang, J.[Jie],
He, X.J.[Xing-Jian],
Zhu, X.X.[Xin-Xin],
Wang, W.N.[Wei-Ning],
Liu, J.[Jing],
CGViT: Cross-image GroupViT for zero-shot semantic segmentation,
PR(164), 2025, pp. 111505.
Elsevier DOI
2504
Semantic segmentation, Zero-shot, Cross-image group, Image-text
BibRef
Zhang, X.Y.[Xin-Yi],
Lu, X.K.[Xian-Kai],
Yin, Y.L.[Yi-Long],
Ye, H.J.[Han-Jia],
Zhan, D.C.[De-Chuan],
Efficient Sampling-based Gaussian Processes for few-shot semantic
segmentation,
PR(164), 2025, pp. 111542.
Elsevier DOI
2504
Few-shot semantic segmentation, Gaussian Processes,
Deep Kernel Learning, Uncertainty modeling
BibRef
Zhang, Z.C.[Zi-Cheng],
Ke, W.[Wei],
Zhu, Y.[Yi],
Liang, X.D.[Xiao-Dan],
Liu, J.Z.[Jian-Zhuang],
Ye, Q.X.[Qi-Xiang],
Zhang, T.[Tong],
Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation,
CirSysVideo(35), No. 4, April 2025, pp. 3185-3195.
IEEE DOI
2504
Visualization, Tuning, Decoding, Transformers, Semantic segmentation,
Adaptation models, Semantics, Streams, Overfitting,
vision-language prompt tuning
BibRef
Wang, H.C.[Hao-Chen],
Shen, Y.J.[Yu-Jun],
Fei, J.J.[Jing-Jing],
Li, W.[Wei],
Wu, L.W.[Li-Wei],
Wang, Y.X.[Yu-Xi],
Zhang, Z.X.[Zhao-Xiang],
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic
Segmentation,
IJCV(133), No. 5, May 2025, pp. 2287-2310.
Springer DOI
2504
BibRef
Wang, Y.X.[Yu-Xi],
Liang, J.[Jian],
Xiao, J.[Jun],
Mei, S.Q.[Shu-Qi],
Yang, Y.[Yuran],
Zhang, Z.X.[Zhao-Xiang],
Informative Data Mining for One-shot Cross-Domain Semantic
Segmentation,
ICCV23(1064-1074)
IEEE DOI Code:
WWW Link.
2401
BibRef
Karimi, A.[Amin],
Poullis, C.[Charalambos],
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for
Robust Few-Shot Segmentation,
CVPR25(4584-4594)
IEEE DOI Code:
WWW Link.
2508
Visualization, Vocabulary, Semantic segmentation, Source coding,
Semantics, Pipelines, Benchmark testing, Visual systems, Robustness, LLM
BibRef
Yun, J.[Junno],
Akçakaya, M.[Mehmet],
Generative Model-Based Fusion for Improved Few-Shot Semantic
Segmentation of Infrared Images,
WACV25(5479-5488)
IEEE DOI
2505
Training, Databases, Semantic segmentation, Imaging,
Data augmentation, Data models, Faces, Autonomous vehicles,
infrared image segmentation
BibRef
Su, J.P.[Jia-Peng],
Fan, Q.[Qi],
Pei, W.J.[Wen-Jie],
Lu, G.M.[Guang-Ming],
Chen, F.L.[Fang-Lin],
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation,
CVPR24(24036-24045)
IEEE DOI Code:
WWW Link.
2410
Training, Adaptation models, Codes, Semantic segmentation,
Perturbation methods, Computational modeling
BibRef
Lei, S.[Shuo],
Zhang, X.C.[Xu-Chao],
He, J.F.[Jian-Feng],
Chen, F.L.[Fang-Lan],
Du, B.[Bowen],
Lu, C.T.[Chang-Tien],
Cross-Domain Few-Shot Semantic Segmentation,
ECCV22(XXX:73-90).
Springer DOI
2211
BibRef
Kang, D.[Dahyun],
Koniusz, P.[Piotr],
Cho, M.[Minsu],
Murray, N.[Naila],
Distilling Self-Supervised Vision Transformers for Weakly-Supervised
Few-Shot Classification and Segmentation,
CVPR23(19627-19638)
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
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
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
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
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
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
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
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
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Fua and Leclerc Guided Segmentation Papers .