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Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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TitleAuthorsYearSource
Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared ImagesJunno Yun, Mehmet Akçakaya2024arxiv 2412.05341
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with TransformersLixiang Ru, Yibing Zhan, Baosheng Yu2022arxiv 2203.02664
Perceptual Anchoring: Prototype-Guided Text Calibration for Training-free Open-Vocabulary Semantic SegmentationWanli Ma, Jiangwen Lu, Qinmu Peng2026arxiv 2608.03991
Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global ModelsChristoph Mayer, Radu Timofte, Grégory Paul2018arxiv 1808.01625
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic SegmentationAlberto Bacchin, Davide Allegro, Stefano Ghidoni2024arxiv 2409.01109
Evaluation of Attention Mechanisms in U-Net Architectures for Semantic Segmentation of Brazilian Rock Art PetroglyphsLeonardi Melo, Luís Gustavo, Dimmy Magalhães2025arxiv 2511.11959
SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic SegmentationWeichen Zhang, Kebin Liu, Fan Dang2025arxiv 2508.06115
DAUPNet: Domain-Aware Uncertainty Modeling for Reliable Prototype Discrimination in Cross-Domain Few-Shot Semantic SegmentationLei Yuan, Zhongxu Hu, Jingyi Wen2026arxiv 2607.16308
Pixel-Precise Explainable Stress Indexing: A Semantic Segmentation Framework for Disease Severity Quantification in Field CropsRaunak Kumar, Soumyashree Kar2026arxiv 2607.06585
VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic SegmentationBrunó B. Englert, Gijs Dubbelman2025arxiv 2503.10685
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene ParsingZihan Ma, Yongshang Li, Ronggui Ma2024arxiv 2402.02985
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point CloudsYushuang Wu, Zizheng Yan, Shengcai Cai2022arxiv 2202.10705
IIDM: Inter and Intra-domain Mixing for Semi-supervised Domain Adaptation in Semantic SegmentationWeifu Fu, Qiang Nie, Jialin Li2023arxiv 2308.15855
An Expeditious Spatial Mean Radiant Temperature Mapping Framework using Visual SLAM and Semantic SegmentationWei Liang, Yiting Zhang, Ji Zhang2024arxiv 2410.09443
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic SegmentationJinjing Zhu, Yunhao Luo, Xu Zheng2023arxiv 2307.12574
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic SegmentationJiwoon Ahn, Suha Kwak2018arxiv 1803.10464
Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy RegularizationXu Zheng, Yuanhuiyi Lyu, Lutao Jiang2025arxiv 2505.06635
SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAMLin Chen, Yingjian Zhu, Qi Yang2025arxiv 2511.20027
Learning to Sense for Driving: Joint Optics-Sensor-Model Co-Design for Semantic SegmentationReeshad Khan, John Gauch2025arxiv 2512.20815
In defense of the two-stage framework for open-set domain adaptive semantic segmentationWenqi Ren, Weijie Wang, Meng Zheng2026arxiv 2601.01439