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
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation	Seungho Lee, Hwijeong Lee, Hyunjung Shim	2024	arxiv 2410.06893
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation	Matthis Manthe, Carole Lartizien, Stefan Duffner	2024	arxiv 2410.14693
Enhancing DeepLabV3+ to Fuse Aerial and Satellite Images for Semantic Segmentation	Anas Berka, Mohamed El Hajji, Raphael Canals	2025	arxiv 2503.22909
Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning	Zijue Chen, David Ting, Rhys Newbury	2020	arxiv 2010.06879
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI	Peter M. Full, Fabian Isensee, Paul F. Jäger	2020	arxiv 2011.07592
Adaptive Class Weight based Dual Focal Loss for Improved Semantic Segmentation	Md Sazzad Hossain, Andrew P Paplinski, John M Betts	2019	arxiv 1909.11932
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation	Tao Chen, Guosen Xie, Yazhou Yao	2021	arxiv 2102.10935
Dynamic region proposal networks for semantic segmentation in automated glaucoma screening	Shivam Shah, Nikhil Kasukurthi, Harshit Pande	2021	arxiv 2105.11364
Semantic Segmentation of Vegetation in Remote Sensing Imagery Using Deep Learning	Alexandru Munteanu, Marian Neagul	2022	arxiv 2209.14364
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing