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
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation	Yunchao Wei, Xiaodan Liang, Yunpeng Chen	2015	arxiv 1509.03150
A Curriculum-style Self-training Approach for Source-Free Semantic Segmentation	Yuxi Wang, Jian Liang, Zhaoxiang Zhang	2021	arxiv 2106.11653
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic Segmentation	Jiarong Wei, Yancong Lin, Holger Caesar	2023	arxiv 2310.08035
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation	Wei Zhai, Pingyu Wu, Kai Zhu	2023	arxiv 2309.12943
A De-raining semantic segmentation network for real-time foreground segmentation	Fanyi Wang, Yihui Zhang	2021	arxiv 2104.07877
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation	Javed Iqbal, Hamza Rawal, Rehan Hafiz	2022	arxiv 2206.09683
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation	Ye Du, Yujun Shen, Haochen Wang	2022	arxiv 2209.06993
SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation	Nimeshika Udayangani, Sarah Erfani, Christopher Leckie	2025	arxiv 2511.18816
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation	Hongwei Niu, Linhuang Xie, Jianghang Lin	2024	arxiv 2412.12050
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation	Mingyu Yang, Jitong Lu, Hun-Seok Kim