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
LiftPool: Bidirectional ConvNet Pooling	Jiaojiao Zhao, Cees G.M. Snoek	2021	arxiv 2104.00996
Re-designing cities with conditional adversarial networks	Mohamed R. Ibrahim, James Haworth, Nicola Christie	2021	arxiv 2104.04013
Attentive Semantic Exploring for Manipulated Face Detection	Zehao Chen, Hua Yang	2020	arxiv 2005.02958
Emerging Properties in Self-Supervised Vision Transformers	Mathilde Caron, Hugo Touvron, Ishan Misra	2021	arxiv 2104.14294
Confidence Estimation via Auxiliary Models	Charles Corbière, Nicolas Thome, Antoine Saporta	2020	arxiv 2012.06508
Tracking Instances as Queries	Shusheng Yang, Yuxin Fang, Xinggang Wang	2021	arxiv 2106.11963
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation	Xueqing Deng, Yi Zhu, Yuxin Tian	2021	arxiv 2106.13227
Reducing Textural Bias Improves Robustness of Deep Segmentation Models	Seoin Chai, Daniel Rueckert, Ahmed E. Fetit	2020	arxiv 2011.15093
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts	Ji Hou, Benjamin Graham, Matthias Nie\ssner	2020	arxiv 2012.09165
Probabilistic Attention for Interactive Segmentation	Prasad Gabbur, Manjot Bilkhu, Javier Movellan	2021	arxiv 2106.15338
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure