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Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection

AAAI 2019 · Video › Action recognition · approach: Fully supervised temporal action detection · 88 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use STAR instead of the strongest reported weakly supervised baselineWeakly supervised action detection · THUMOS'14AP@IoU 0.1: 55.2 -> 68.8Helped
Use STAR instead of the strongest reported weakly supervised baselineWeakly supervised action detection · ActivityNet1.3 validationAP@IoU 0.5: 29.3 -> 31.1Helped
Add sparsity to the stem (ablation)STAR stem · THUMOS'14Ave-mAP: 39.0 -> 43.8Helped
Add coverage to the stem (ablation)STAR stem · THUMOS'14Ave-mAP: 39.0 -> 42.4Helped
Add RAM to the stem (ablation)STAR stem · THUMOS'14Ave-mAP: 39.0 -> 43.8Helped
Add sparsity and coverage together (ablation)STAR stem · THUMOS'14Ave-mAP: 43.8 -> 43.3Hurt
Add sparsity and RAM together (ablation)STAR stem · THUMOS'14Ave-mAP: 39.0 -> 44.0Helped
Add coverage and RAM together (ablation)STAR stem · THUMOS'14Ave-mAP: 39.0 -> 44.7Helped
Add sparsity, coverage, and RAM (ablation)STAR stem · THUMOS'14Ave-mAP: 39.0 -> 47.0Helped
Fuse attention weights with ST-GradCAM rather than using attention alone (ablation)STAR proposal localization · THUMOS'14Ave-mAP: 39.6 -> 47.0Helped
Fuse attention weights with ST-GradCAM rather than using ST-GradCAM alone (ablation)STAR proposal localization · THUMOS'14Ave-mAP: 24.4 -> 47.0Helped

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