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
Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images	Shanwen Wang, Xin Sun, Danfeng Hong	2026	arxiv 2602.00202
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network	Huafeng Liu, Pai Peng, Tao Chen	2023	arxiv 2301.08160
Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations	Xu Wang, Jingming He, Lin Ma	2019	arxiv 1911.05277
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment	Maryam Rahnemoonfar, Tashnim Chowdhury, Robin Murphy	2022	arxiv 2202.12361
GIBLy: Improving 3D Semantic Segmentation through an Architecture-Agnostic Lightweight Geometric Inductive Bias Layer	Diogo Lavado, Alessandra Micheletti, Clàudia Soares	2026	arxiv 2605.24243
Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection	Shivam K Panda, Yongkyu Lee, M. Khalid Jawed	2023	arxiv 2304.04333
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images	Michele Volpi, Devis Tuia	2018	arxiv 1808.07675
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation	Tsung-Han Wu, Yueh-Cheng Liu, Yu-Kai Huang	2021	arxiv 2107.11769
Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation	Joelle Hanna, Damian Borth	2025	arxiv 2507.06848