Structured Attention Composition for Temporal Action Localization. (arXiv:2205.09956v1 [cs.CV])

Temporal action localization aims at localizing action instances from
untrimmed videos. Existing works have designed various effective modules to
precisely localize action instances based on appearance and motion features.
However, by treating these two kinds of features with equal importance,
previous works cannot take full advantage of each modality feature, making the
learned model still sub-optimal. To tackle this issue, we make an early effort
to study temporal action localization from the perspective of multi-modality
feature learning, based on the …

arxiv attention cv localization temporal