Exploring Stronger Feature for Temporal Action Localization
Zhiwu Qing,
Xiang Wang,
Ziyuan Huang
et al.
Abstract:Temporal action localization aims to localize starting and ending time with action category. Limited by GPU memory, mainstream methods pre-extract features for each video. Therefore, feature quality determines the upper bound of detection performance. In this technical report, we explored classic convolution-based backbones and the recent surge of transformer-based backbones. We found that the transformer-based methods can achieve better classification performance than convolution-based, but they cannot genera… Show more
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