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Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context

AAAI 2021 · Video › Action recognition · approach: Weakly supervised temporal action localization · 31 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Learn explicit action and context subspaces and use action-subspace scores for localizationWS-TAL · THUMOS14 testaverage mAP@IoU 0.3:0.1:0.7: 21.6 -> 30.6Helped
Use action-subspace scores for TAP evaluation (C3) (ablation)Base module with UntrimmedNet features · THUMOS14 testaverage mAP@IoU 0.3:0.1:0.7: 21.6 -> 22.6Helped
Use action-subspace scores for TAP generation (C2) (ablation)Base module with UntrimmedNet features · THUMOS14 testaverage mAP@IoU 0.3:0.1:0.7: 21.6 -> 22.8Helped
Add T-ResM with its auxiliary unsupervised training task (C4) (ablation)C2+C3 WS-TAL with UntrimmedNet features · THUMOS14 testaverage mAP@IoU 0.3:0.1:0.7: 23.9 -> 25.8Helped
Add T-ResM with its auxiliary unsupervised training task (C4) (ablation)C2+C3 WS-TAL with I3D features · THUMOS14 testaverage mAP@IoU 0.3:0.1:0.7: 28.8 -> 29.8Helped
Replace Base module proposal generation and evaluation with action-subspace scores (ablation)WS-TAL with UntrimmedNet features · THUMOS14 testaverage mAP@IoU 0.3:0.1:0.7: 21.6 -> 26.3Helped
Replace Base module proposal generation and evaluation with action-subspace scores (ablation)WS-TAL with I3D features · THUMOS14 testaverage mAP@IoU 0.3:0.1:0.7: 22.4 -> 30.6Helped
Use the full action-context subspace methodWS-TAL with I3D features · ActivityNet v1.2 validationaverage mAP: 23.3 -> 25.5Helped
Use the full action-context subspace methodWS-TAL with I3D features · ActivityNet v1.3 validationaverage mAP: 22.2 -> 23.2Helped

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