Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network-Reference-Cited by-同舟云学术

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Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network

Published:2023-08 Issue:8 Volume:33 Page:3860-3871
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Xu Yuecong¹^ORCID,Yang Jianfei²,Cao Haozhi²^ORCID,Wu Keyu¹^ORCID,Wu Min¹^ORCID,Li Zhengguo¹^ORCID,Chen Zhenghua³^ORCID

Affiliation:

1. Institute for Infocomm Research (I2R), A*STAR, Fusionopolis, Singapore

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

3. Centre for Frontier AI Research and the Institute for Infocomm Research (I2R), A*STAR, Fusionopolis, Singapore

Funder

Agency for Science, Technology and Research (A*STAR) under its Career Development Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10207864/10006816.pdf?arnumber=10006816

Reference65 articles.

1. Large-Scale Video Classification with Convolutional Neural Networks

2. Adapting visual category models to new domains;saenko;Proc Eur Conf Comput Vis (ECCV),2010

3. Moments in Time Dataset: One Million Videos for Event Understanding

4. Spatial–Temporal Context-Aware Online Action Detection and Prediction

5. Robust visual domain adaptation with low-rank reconstruction;jhuo;Proc IEEE Conf Comput Vis Pattern Recognit,2012

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