Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation-Reference-Cited by-同舟云学术

Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
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Author:

Lu Yulei¹,Luo Yawei¹,Zhang Li²,Li Zheyang³,Yang Yi¹,Xiao Jun¹

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Zhejiang Insigma Digital Technology Co., Ltd., Hangzhou, China

3. Hikvision Research Institute, Hangzhou, China

Funder

Zhejiang Natural Science Foundation

Zhejiang Innovation Foundation

CCF-HIKVISION OF

National Key Research & Development Project of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548225

Reference45 articles.

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2. Large-Scale Machine Learning with Stochastic Gradient Descent

3. Liang-Chieh Chen , George Papandreou , Iasonas Kokkinos , Kevin Murphy , and Alan L Yuille . 2017 . Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs . IEEE transactions on pattern analysis and machine intelligence 40, 4 (2017), 834--848. Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille. 2017. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence 40, 4 (2017), 834--848.

4. Liang-Chieh Chen , George Papandreou , Florian Schroff , and Hartwig Adam . 2017. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 ( 2017 ). Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam. 2017. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 (2017).

5. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

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