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
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation	Hongjun Chen, Jinbao Wang, Hong Cai Chen	2021	arxiv 2108.13393
Learning 3D Semantic Segmentation with only 2D Image Supervision	Kyle Genova, Xiaoqi Yin, Abhijit Kundu	2021	arxiv 2110.11325
SqueezeNAS: Fast neural architecture search for faster semantic segmentation	Albert Shaw, Daniel Hunter, Forrest Iandola	2019	arxiv 1908.01748
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss	Minghao Chen, Hongyang Xue, Deng Cai	2019	arxiv 1909.13589
Graph-guided Architecture Search for Real-time Semantic Segmentation	Peiwen Lin, Peng Sun, Guangliang Cheng	2019	arxiv 1909.06793
Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing	Philipe A. Dias, Henry Medeiros	2020	arxiv 2005.05856
Context-self contrastive pretraining for crop type semantic segmentation	Michail Tarasiou, Riza Alp Guler, Stefanos Zafeiriou	2021	arxiv 2104.04310
Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency Regularization	Qianyu Zhou, Chuyun Zhuang, Ran Yi	2021	arxiv 2110.05170
Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation	Yabo Zhang, Zihao Wang, Jun Hao Liew	2023	arxiv 2304.01114
Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation	Gabriel Tjio, Ping Liu, Chee-Keong Kwoh	2023	arxiv 2304.09347