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
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation	Elias Kassapis, Georgi Dikov, Deepak K. Gupta	2020	arxiv 2006.13144
Actor-Action Semantic Segmentation with Region Masks	Kang Dang, Chunluan Zhou, Zhigang Tu	2018	arxiv 1807.08430
Tensor Low-Rank Reconstruction for Semantic Segmentation	Wanli Chen, Xinge Zhu, Ruoqi Sun	2020	arxiv 2008.00490
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation	Zhijie Wang, Masanori Suganuma, Takayuki Okatani	2022	arxiv 2207.00067
Embodied Visual Active Learning for Semantic Segmentation	David Nilsson, Aleksis Pirinen, Erik Gärtner	2020	arxiv 2012.09503
SwinMamba: A hybrid local-global mamba framework for enhancing semantic segmentation of remotely sensed images	Qinfeng Zhu, Han Li, Liang He	2025	arxiv 2509.20918
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations	Yonghao Xu, Pedram Ghamisi	2022	arxiv 2202.03740
HARP-NeXt: High-Speed and Accurate Range-Point Fusion Network for 3D LiDAR Semantic Segmentation	Samir Abou Haidar, Alexandre Chariot, Mehdi Darouich	2025	arxiv 2510.06876
PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance	Yujing Zhou, Prashant Shekhar, Thomas Yang	2026	arxiv 2605.27128
Unsupervised Domain Adaptation for Semantic Segmentation using One-shot Image-to-Image Translation via Latent Representation Mixing

A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology	Ibtihaj Ahmad, Syed Muhammad Israr, Zain Ul Islam	2023	arxiv 2308.11179