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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
Abstract Flow for Temporal Semantic Segmentation on the Permutohedral LatticePeer Schütt, Radu Alexandru Rosu, Sven Behnke2022arxiv 2203.15469
Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve ReplacementCedric Zöllner, Simon Rei\ss, Alexander Jaus2025arxiv 2507.16573
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic SegmentationYuyan Li, Chuanmao Fan, Xu Wang2021arxiv 2109.11610
The Marine Debris Dataset for Forward-Looking Sonar Semantic SegmentationDeepak Singh, Matias Valdenegro-Toro2021arxiv 2108.06800
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic SegmentationIaroslav Melekhov, Anand Umashankar, Hyeong-Jin Kim2024arxiv 2404.10699
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNsRong Ma, Jie Chen, Xiangyang Xue2024arxiv 2407.10534
Classification of Hematoma: Joint Learning of Semantic Segmentation and ClassificationHokuto Hirano, Tsuyoshi Okita2021arxiv 2103.17172
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic SegmentationJunliang Chen, Xiaodong Zhao, Cheng Luo2022arxiv 2210.14618
Epipolar Attention Field Transformers for Bird's Eye View Semantic SegmentationChristian Witte, Jens Behley, Cyrill Stachniss2024arxiv 2412.01595
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy dataNastassya Horlava, Alisa Mironenko, Sebastian Niehaus2020arxiv 2011.08076
Unsupervised Semantic Segmentation Facilitates Model UnderstandingXiaoyan Yu, Lisa Mais, Jannik Franzen2026arxiv 2605.29691
Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation from MLSAditya Aditya, Bharat Lohani, Jagannath Aryal2023arxiv 2306.10274
Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral ImagesSilvia Seidlitz, Jan Sellner, Alexander Studier-Fischer2024arxiv 2408.15373
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic SegmentationRobin Chan, Matthias Rottmann, Hanno Gottschalk2020arxiv 2012.06575
Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral GroupsZhenghao Xi, Zhengnan Lv, Yang Zheng2025arxiv 2506.12712
SegDiscover: Visual Concept Discovery via Unsupervised Semantic SegmentationHaiyang Huang, Zhi Chen, Cynthia Rudin2022arxiv 2204.10926
Boundary Loss for Remote Sensing Imagery Semantic SegmentationAlexey Bokhovkin, Evgeny Burnaev2019arxiv 1905.07852
Contextual-Relation Consistent Domain Adaptation for Semantic SegmentationJiaxing Huang, Shijian Lu, Dayan Guan2020arxiv 2007.02424
ACE: Adapting to Changing Environments for Semantic SegmentationZuxuan Wu, Xin Wang, Joseph E. Gonzalez2019arxiv 1904.06268
ESA: Annotation-Efficient Active Learning for Semantic SegmentationJinchao Ge, Zeyu Zhang, Minh Hieu Phan2024arxiv 2408.13491