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
IGME: Efficient Chained Method Ensemble for Transferable Semantic Segmentation Attacks	Mengqi He, Jing Zhang	2026	arxiv 2607.27465
MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images	Lei Ding, Kai Zheng, Dong Lin	2020	arxiv 2011.05088
Language-driven Semantic Segmentation	Boyi Li, Kilian Q. Weinberger, Serge Belongie	2022	arxiv 2201.03546
Diagnostics in Semantic Segmentation	Vladimir Nekrasov, Chunhua Shen, Ian Reid	2018	arxiv 1809.10328
Trusting Semantic Segmentation Networks	Samik Some, Vinay P. Namboodiri	2024	arxiv 2406.14201
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning	Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè	2020	arxiv 2006.10386
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation	M.Naseer Subhani, Mohsen Ali	2020	arxiv 2007.14449
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation	Letian Wu, Wenyao Zhang, Tengping Jiang	2023	arxiv 2304.06212
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation	Ashraful Islam, Ben Lundell, Harpreet Sawhney	2022	arxiv 2207.04398
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning	René Zurbrügg, Hermann Blum, Cesar Cadena	2022	arxiv 2203.00549