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
Open-Vocabulary Domain Generalization in Urban-Scene Segmentation	Dong Zhao, Qi Zang, Nan Pu	2026	arxiv 2602.18853
End-to-end speaker diarization with transformer	Yongquan Lai, Xin Tang, Yuanyuan Fu	2021	arxiv 2112.07463
Adversarially robust segmentation models learn perceptually-aligned gradients	Pedro Sandoval-Segura	2022	arxiv 2204.01099
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data	Mina Rezaei, Haojin Yang, Christoph Meinel	2018	arxiv 1811.10419
I Can See Clearly Now : Image Restoration via De-Raining	Horia Porav, Tom Bruls, Paul Newman	2019	arxiv 1901.00893
Self-supervised Domain Adaptation for Computer Vision Tasks	Jiaolong Xu, Liang Xiao, Antonio M. Lopez	2019	arxiv 1907.10915
DGST : Discriminator Guided Scene Text detector	Jinyuan Zhao, Yanna Wang, Baihua Xiao	2020	arxiv 2002.12509
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss	Jiabo He, Sarah Erfani, Sudanthi Wijewickrema	2020	arxiv 2009.10987
MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis	Rahul Chakwate, Arulkumar Subramaniam, Anurag Mittal	2020	arxiv 2011.00923
News Cover Assessment via Multi-task Learning	Zixun Sun, Shuang Zhao, Chengwei Zhu	2019	arxiv 1907.07581
A comparative study of attention mechanism and generative adversarial network in facade damage segmentation

Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data	Laura Elena Cué La Rosa, Camile Sothe, Raul Queiroz Feitosa	2021	arxiv 2106.00799