Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network-Reference-Cited by-同舟云学术

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network

Published:2021-10 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Xu Yuecong¹,Yang Jianfei¹,Cao Haozhi¹,Chen Zhenghua²,Li Qi¹,Mao Kezhi¹

Affiliation:

1. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore

2. A*Star,Institute for Infocomm Research,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710793.pdf?arnumber=9710793

Reference38 articles.

1. Unsupervised domain adaptation for semantic segmentation via class-balanced self-training;zou;Proceedings of the European Conference on Computer Vision (ECCV),2018

2. Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

3. Importance Weighted Adversarial Nets for Partial Domain Adaptation

4. Arid: A new dataset for recognizing action in the dark;xu,2020

5. Rethinking spatiotemporal feature learning for video understanding;xie,2017

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