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
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input	Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani	2021	arxiv 2108.13368
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations	Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek	2018	arxiv 1809.04766
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation	Lian Xu, Wanli Ouyang, Mohammed Bennamoun	2021	arxiv 2107.11787
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames	Jinkyu Lee, Muhyun Back, Sung Soo Hwang	2021	arxiv 2105.00114
MambaSeg: Harnessing Mamba for Accurate and Efficient Image-Event Semantic Segmentation	Fuqiang Gu, Yuanke Li, Xianlei Long	2025	arxiv 2512.24243
RGPNet: A Real-Time General Purpose Semantic Segmentation	Elahe Arani, Shabbir Marzban, Andrei Pata	2019	arxiv 1912.01394
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation	Fangwen Wu, Jingxuan He, Yufei Yin	2023	arxiv 2305.08491
Golden Cudgel Network for Real-Time Semantic Segmentation	Guoyu Yang, Yuan Wang, Daming Shi	2025	arxiv 2503.03325
ClustViT: Clustering-based Token Merging for Semantic Segmentation	Fabio Montello, Ronja Güldenring, Lazaros Nalpantidis	2025	arxiv 2510.01948
Cross-Stage Attention Propagation for Efficient Semantic Segmentation	Beoungwoo Kang	2026