Learning to Match Anchor-Target Video Pairs With Dual Attentional Holographic Networks-Reference-Cited by-同舟云学术

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Learning to Match Anchor-Target Video Pairs With Dual Attentional Holographic Networks

Published:2021 Issue: Volume:30 Page:8130-8143
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Hao Yanbin^ORCID,Ngo Chong-Wah,Zhu Bin^ORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Research Grants Council (RGC) of the Hong Kong Special Administrative Region, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9263394/09547825.pdf?arnumber=9547825

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised Encoder-Decoder Model for Anomaly Prediction Task;MultiMedia Modeling;2023

2. Hierarchical Hourglass Convolutional Network for Efficient Video Classification;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

3. Long-term Leap Attention, Short-term Periodic Shift for Video Classification;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

4. Multi-directional Knowledge Transfer for Few-Shot Learning;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

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