DANet: Temporal Action Localization with Double Attention

DANet: Temporal Action Localization with Double Attention

Temporal action localization (TAL) aims to predict action instance categories in videos and identify their start and end times. However, existing Transformer-based backbones focus only on global or local features, resulting in the loss of information. In addition, both global and local self-attentio...

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Bibliographic Details
Main Authors: Jianing Sun, Xuan Wu, Yubin Xiao, Chunguo Wu, Yanchun Liang, Yi Liang, Liupu Wang, You Zhou
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
temporal action localization
computer vision
artificial intelligence
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/13/12/7176

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