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
Semantic Video Segmentation: A Review on Recent Approaches	Mohammad Hajizadeh Saffar, Mohsen Fayyaz, Mohammad Sabokrou	2018	arxiv 1806.06172
Prompt What You Need: Enhancing Segmentation in Rainy Scenes with Anchor-based Prompting	Xiaoyu Guo, Xiang Wei, Qi Su	2023	arxiv 2305.03902
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization	Carlos Herranz-Perdiguero, Carolina Redondo-Cabrera, Roberto J. López-Sastre	2018	arxiv 1807.07284
Local Temperature Scaling for Probability Calibration	Zhipeng Ding, Xu Han, Peirong Liu	2020	arxiv 2008.05105
SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection	Chengju Zhou, Meiqing Wu, Siew-Kei Lam	2019	arxiv 1902.09080
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather	Giulia Rizzoli, Matteo Caligiuri, Donald Shenaj	2024	arxiv 2403.13762
Agriculture-Vision Challenge 2024 -- The Runner-Up Solution for Agricultural Pattern Recognition via Class Balancing and Model Ensemble	Wang Liu, Zhiyu Wang, Puhong Duan	2024	arxiv 2406.12271
CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics	Yueyue Han, Yingyan Huang, Hangcheng Dong	2023	arxiv 2307.09161
Domain Adaptation for the Segmentation of Confidential Medical Images	Serban Stan, Mohammad Rostami	2021	arxiv 2101.00522
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks