Spatiotemporal feature enhancement network for action recognition-Reference-Cited by-同舟云学术

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Spatiotemporal feature enhancement network for action recognition

Published:2023-12-15 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Huang Guancheng,Wang Xiuhui^ORCID,Li Xuesheng,Wang Yaru

Funder

Key Research and Development Program of Zhejiang Province

Public Projects of Zhejiang Province of China

the Natural Science Foundation of Zhejiang Province of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17834-0.pdf

Reference39 articles.

1. Huang Y, Yang X, Gao J, Xu C (2022) Holographic feature learning of egocentric-exocentric videos for multi-domain action recognition. IEEE Trans Multimed 24:2273–2286

2. Liu J, Akhtar N, Mian A (2022) Adversarial attack on skeleton-based human action recognition. IEEE Trans Neural Netw Learn Syst 33(4):1609–1622

3. Lin W, Ding X, Huang Y, Zeng H (2023) Self-supervised video-based action recognition with disturbances. IEEE Trans Image Process 32:2493–2507

4. Cui M, Wang W, Zhang K, Sun Z, Wang L (2023) Pose-appearance relational modeling for video action recognition. IEEE Trans Image Process 32:295–308

5. Yan R, Xie L, Shu X, Zhang L, Tang J (2023) Progressive instance-aware feature learning for compositional action recognition. IEEE Trans Pattern Anal Mach Intell 45(8):10317–10330

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