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Weakly-Supervised Action Localization by Generative Attention Modeling

CVPR 2020 · Video › Action recognition · approach: Weakly supervised temporal action localization · 183 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace the baseline weakly supervised localizer with DGAMWeakly supervised action localization with I3D features · THUMOS14 testmAP@0.5: 26.8 -> 28.8Helped
Replace the baseline weakly supervised localizer with DGAMWeakly supervised action localization with I3D features · THUMOS14 testmAP@0.7: 9.0 -> 11.4Helped
Replace the baseline weakly supervised localizer with DGAMWeakly supervised action localization · ActivityNet1.2 validationmAP@AVG: 22.4 -> 24.4Helped
Add background classification loss (ablation)Foreground-classification attention model · THUMOS14mAP@0.5: 21.5 -> 24.8Helped
Add self-guided regularization loss (ablation)Foreground and background classification model · THUMOS14mAP@0.5: 24.8 -> 26.7Helped
Add reconstruction loss and train the conditional VAE (ablation)DGAM attention model · THUMOS14mAP@0.5: 26.7 -> 28.8Helped
Increase latent dimension from 16 to 128 (ablation)DGAM conditional VAE · THUMOS14mAP@0.5: 26.5 -> 28.8Helped
Increase latent dimension from 128 to 256 or 512 (ablation)DGAM conditional VAE · THUMOS14mAP@0.5: 28.8 -> 28.3; 28.8 -> 27.7Hurt
Vary CVAE beta across tested settings (ablation)DGAM conditional VAE · THUMOS14mAP@0.5: 28.2, 28.1, 28.4, 28.8, 28.0, 28.4No clear effect
Use the new DGAM attention with the old classifier instead of the old attention and classifier (ablation)THUMOS14 attention/classification module combination · THUMOS14mAP@0.5: 26.7 -> 28.8Helped
Replace the old classifier with the new classifier while retaining the old attention (ablation)THUMOS14 attention/classification module combination · THUMOS14mAP@0.5: 26.7 -> 27.0No clear effect

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