SOTA2 Research · papers

Papers for “semantic segmentation”

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

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20 indexed

Title	Authors	Year	Source
Lightweight and Progressively-Scalable Networks for Semantic Segmentation	Yiheng Zhang, Ting Yao, Zhaofan Qiu	2022	arxiv 2207.13600
Delving into Shape-aware Zero-shot Semantic Segmentation	Xinyu Liu, Beiwen Tian, Zhen Wang	2023	arxiv 2304.08491
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation	Guoan Xu, Jiaming Chen, Wenfeng Huang	2024	arxiv 2411.17061
FSNet: A Failure Detection Framework for Semantic Segmentation	Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke	2021	arxiv 2108.08748
Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation	Qinglong Cao, Yuntian Chen, Chao Ma	2023	arxiv 2306.11734
SegRGB-X: General RGB-X Semantic Segmentation Model	Jiong Liu, Yingjie Xu, Xingcheng Zhou	2026	arxiv 2603.28023
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation	Nagito Saito, Shintaro Ito, Koichi Ito	2025	arxiv 2505.19846
Boosting Few-shot Semantic Segmentation with Transformers	Guolei Sun, Yun Liu, Jingyun Liang	2021	arxiv 2108.02266
A Survey on Semi-Supervised Semantic Segmentation	Adrian Peláez-Vegas, Pablo Mesejo, Julián Luengo	2023	arxiv 2302.09899
WebSeg: Learning Semantic Segmentation from Web Searches	Qibin Hou, Ming-Ming Cheng, Jiangjiang Liu	2018	arxiv 1803.09859
Interlaced Sparse Self-Attention for Semantic Segmentation