Noise-Robust Continual Test-Time Domain Adaptation-Reference-Cited by-同舟云学术

Noise-Robust Continual Test-Time Domain Adaptation

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Yu Zhiqi¹^ORCID,Li Jingjing²^ORCID,Du Zhekai¹^ORCID,Li Fengling³^ORCID,Zhu Lei⁴^ORCID,Yang Yang¹^ORCID

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. University of Electronic Science and Technology of China & UESTC in Guangdong, Chengdu, China

3. University of Technology Sydney, Sydney, NSW, Australia

4. Shandong Normal University, Jinan, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612071

Reference48 articles.

1. Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning

2. Hongjoon Ahn , Sungmin Cha , Donggyu Lee , and Taesup Moon . 2019. Uncertainty-based continual learning with adaptive regularization. Advances in neural information processing systems 32 ( 2019 ). Hongjoon Ahn, Sungmin Cha, Donggyu Lee, and Taesup Moon. 2019. Uncertainty-based continual learning with adaptive regularization. Advances in neural information processing systems 32 (2019).

3. Mining people's trips from large scale geo-tagged photos

4. Contrastive Test-Time Adaptation

5. Unveiling the multimedia unconscious

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