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
Solution for CVPR 2024 UG2+ Challenge Track on All Weather Semantic Segmentation	Jun Yu, Yunxiang Zhang, Fengzhao Sun	2024	arxiv 2406.05837
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing	Andreas Bär, Jonas Löhdefink, Nikhil Kapoor	2021	arxiv 2101.03924
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation	Binhui Xie, Longhui Yuan, Shuang Li	2021	arxiv 2111.12940
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs	Junbum Cha, Jonghwan Mun, Byungseok Roh	2022	arxiv 2212.00785
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation	Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati	2023	arxiv 2303.14361
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch	Qing Zhang, Hang Guo, Siyuan Yang	2024	arxiv 2412.02978
Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation	Jinheng Xie, Jianfeng Xiang, Junliang Chen	2022	arxiv 2203.13505
EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance	Jiahui Wang, Haiyue Zhu, Haoren Guo	2025	arxiv 2511.11700
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation	Jogendra Nath Kundu, Akshay Kulkarni, Amit Singh	2021	arxiv 2108.11249