Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation
Author:
Affiliation:
1. University of Liverpool & Xi'an Jiaotong-Liverpool University, Liverpool, United Kingdom
2. Xi'an Jiaotong-Liverpool University, Suzhou, China
3. Duke Kunshan University, Kunshan, China
Funder
Jiangsu Science and Technology Programme
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583780.3614872
Reference49 articles.
1. Alexander A Alemi , Ian Fischer , and Joshua V Dillon . 2018. Uncertainty in the variational information bottleneck. arXiv preprint arXiv:1807.00906 ( 2018 ). Alexander A Alemi, Ian Fischer, and Joshua V Dillon. 2018. Uncertainty in the variational information bottleneck. arXiv preprint arXiv:1807.00906 (2018).
2. Robert B Ash . 2012. Information theory . Courier Corporation . Robert B Ash. 2012. Information theory. Courier Corporation.
3. Homm: Higher-order moment matching for unsupervised domain adaptation;Chen Chao;Association for the Advancement of Artificial Intelligence,2020
4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
5. Domain Adaptive Faster R-CNN for Object Detection in the Wild
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