Long-term Leap Attention, Short-term Periodic Shift for Video Classification-Reference-Cited by-同舟云学术

Long-term Leap Attention, Short-term Periodic Shift for Video Classification

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:

Zhang Hao¹,Cheng Lechao²,Hao Yanbin³,Ngo Chong-wah¹

Affiliation:

1. Singapore Management University, Singapore, Singapore

2. Zhejiang Lab, Hangzhou, China

3. University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Exploratory Research Project

Singapore Ministry of Education (MOE)

Zhejiang Provincial Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547908

Reference66 articles.

1. Gedas Bertasius , Heng Wang , and Lorenzo Torresani . 2021 . Is Space-Time Attention All You Need for Video Understanding? . In Proceedings of the International Conference on Machine Learning (ICML). Gedas Bertasius, Heng Wang, and Lorenzo Torresani. 2021. Is Space-Time Attention All You Need for Video Understanding?. In Proceedings of the International Conference on Machine Learning (ICML).

2. Multi-Perspective Video Captioning

3. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

4. Attacking Video Recognition Models with Bullet-Screen Comments

5. Visformer: The Vision-friendly Transformer

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