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
Efficient piecewise training of deep structured models for semantic segmentation	Guosheng Lin, Chunhua Shen, Anton van dan Hengel	2015	arxiv 1504.01013
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation	Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann	2016	arxiv 1609.00446
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation	Arthur Douillard, Yifu Chen, Arnaud Dapogny	2021	arxiv 2106.15287
CoCo-SAM3: Harnessing Concept Conflict in Open-Vocabulary Semantic Segmentation	Yanhui Chen, Baoyao Yang, Siqi Liu	2026	arxiv 2604.19648
A feature refinement module for light-weight semantic segmentation network	Zhiyan Wang, Xin Guo, Song Wang	2024	arxiv 2412.08670
Robust Semantic Segmentation By Dense Fusion Network On Blurred VHR Remote Sensing Images	Yi Peng, Shihao Sun, Zheng Wang	2019	arxiv 1903.02702
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memory	Jingru Zhu, Ya Guo, Geng Sun	2022	arxiv 2208.07722
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation	Yuhao Lin, Haiming Xu, Lingqiao Liu	2023	arxiv 2303.09794
Semi-Supervised Semantic Segmentation with Cross-Consistency Training	Yassine Ouali, Céline Hudelot, Myriam Tami	2020	arxiv 2003.09005
Domain Adaptation on Semantic Segmentation for Aerial Images