Separately Guided Context-Aware Network for Weakly Supervised Temporal Action Detection-Reference-Cited by-同舟云学术

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Separately Guided Context-Aware Network for Weakly Supervised Temporal Action Detection

Published:2023-03-25 Issue:5 Volume:55 Page:6269-6288
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Li Bairong,Pan Yifan,Liu Ruixin,Zhu Yuesheng^ORCID

Funder

Nature Science Foundation of China

National Innovation 2030 Major S &T Project of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-11138-4.pdf

Reference69 articles.

1. Lin T, Zhao X, Su H, Wang C, Yang M (2018) Bsn: Boundary sensitive network for temporal action proposal generation. In: Proceedings of the European conference on computer vision, pp 3–19

2. Zeng R, Huang W, Gan C, Tan M, Rong Y, Zhao P, Huang J (2019) Graph convolutional networks for temporal action localization. In: Proceedings of the IEEE international conference on computer vision, pp 7093–7102

3. Paul S, Roy S, Roy-Chowdhury AK (2018) W-talc: weakly-supervised temporal activity localization and classification. In: Proceedings of the European conference on computer vision, pp 563–579

4. Liu D, Jiang T, Wang Y (2019) Completeness modeling and context separation for weakly supervised temporal action localization. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1298–1307

5. Shi B, Dai Q, Mu Y, Wang J (2020) Weakly-supervised action localization by generative attention modeling. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1006–1016

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1. A fusion algorithm selection method for infrared image based on quality synthesis of intuition possible sets;Measurement;2024-08

2. Learning Reliable Dense Pseudo-Labels for Point-Level Weakly-Supervised Action Localization;Neural Processing Letters;2024-04-10

3. FEASE: Feature Selection and Enhancement Networks for Action Recognition;Neural Processing Letters;2024-03-06

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