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
Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation	Mehran Javanmardi, Mehdi Sajjadi, Ting Liu	2016	arxiv 1605.01368
ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation	Xinxin Hu, Kailun Yang, Lei Fei	2019	arxiv 1905.10089
Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation	Borja Bovcon, Rok Mandeljc, Janez Perš	2018	arxiv 1802.07956
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image	Muhammad Shahzad, Arif Iqbal Umar, Muazzam A. Khan	2020	arxiv 2001.10188
A Radar Signal Deinterleaving Method Based on Semantic Segmentation with Neural Network	Wang Chao, Sun Liting, Liu Zhangmeng	2021	arxiv 2110.13706
Woodscape Fisheye Semantic Segmentation for Autonomous Driving -- CVPR 2021 OmniCV Workshop Challenge	Saravanabalagi Ramachandran, Ganesh Sistu, John McDonald	2021	arxiv 2107.08246
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes	Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu	2019	arxiv 1904.05730
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation	Aysim Toker, Marvin Eisenberger, Daniel Cremers	2024	arxiv 2403.16605
PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation	Yong He, Hongshan Yu, Mingtao Feng	2025	arxiv 2503.06094
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception