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Weakly-Supervised Video Re-Localization with Multiscale Attention Model

AAAI 2020 · Video › Action recognition · approach: Weakly supervised temporal action localization · 12 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add multiscale attention module (dilated, varied kernel sizes) (ablation)weakly supervised base model · Video re-localization, weakly supervised, testavg top-1 mAP: 18.0 -> 19.2Helped
add self-attention features (ablation)weakly supervised base model · Video re-localization, weakly supervised, testavg top-1 mAP: 18.0 -> 19.7Helped
combine multiscale and self-attention (full model) (ablation)weakly supervised base model · Video re-localization, weakly supervised, testavg top-1 mAP: 18.0 -> 20.7Helped
add co-attention loss to weighted cross entropy (ablation)fully supervised model · Video re-localization, fully supervised, testavg top-1 mAP: 27.2 -> 28.2Helped
set co-attention loss ratio alpha to 0.3 instead of 1 (ablation)weakly supervised model · Video re-localization, weakly supervised, testavg top-1 mAP: 18.4 -> 20.7Helped
set co-attention loss ratio alpha to 0.3 instead of 0 (no co-attention term) (ablation)weakly supervised model · Video re-localization, weakly supervised, testavg top-1 mAP: 19.0 -> 20.7Helped
use model's attention modules with cross entropy only instead of CGBMfully supervised model · Video re-localization, fully supervised, testavg top-1 mAP: 25.7 -> 27.2Helped
use 1D conv with kernel size 1 in multiscale heads (ablation)multiscale attention · weakly supervisedperformanceHurt

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