Unleashing the Potential of Adjacent Snippets for Weakly-supervised Temporal Action Localization-Reference-Cited by-同舟云学术

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Unleashing the Potential of Adjacent Snippets for Weakly-supervised Temporal Action Localization

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo (ICME)
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Author:

Liu Qinying¹,Wang Zilei¹,Chen Ruoxi¹,Li Zhilin¹

Affiliation:

1. University of Science and Technology of China,China

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219683.pdf?arnumber=10219683

Reference34 articles.

1. UntrimmedNets for Weakly Supervised Action Recognition and Detection

2. Action Recognition From Single Timestamp Supervision in Untrimmed Videos

3. Background-Click Supervision for Temporal Action Localization

4. SF-Net: Single-Frame Supervision for Temporal Action Localization

5. Temporal Action Detection with Structured Segment Networks

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