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
Masked Supervised Learning for Semantic Segmentation	Hasib Zunair, A. Ben Hamza	2022	arxiv 2210.00923
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation	Midhun Vayyat, Jaswin Kasi, Anuraag Bhattacharya	2022	arxiv 2208.14227
Quantity beats quality for semantic segmentation of corrosion in images	Will Nash, Tom Drummond, Nick Birbilis	2018	arxiv 1807.03138
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions	Weihao Xia, Zhanglin Cheng, Yujiu Yang	2019	arxiv 1911.00679
Learning unbiased zero-shot semantic segmentation networks via transductive transfer	Haiyang Liu, Yichen Wang, Jiayi Zhao	2020	arxiv 2007.00515
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation	Yu Wang, Quan Zhou, Xiaofu Wu	2019	arxiv 1906.09826
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation	Yangheng Zhao, Jun Wang, Xiaolong Li	2022	arxiv 2210.09948
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks	Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka	2016	arxiv 1604.07480
Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation	Wangkai Li, Rui Sun, Huayu Mai	2024	arxiv 2412.10339
Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery	Ionut M. Motoi, Leonardo Saraceni, Daniele Nardi