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Fine-Grained Temporal Contrastive Learning for Weakly-Supervised Temporal Action Localization

CVPR 2022 · Video › Action recognition · approach: Weakly supervised temporal action localization · 91 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add fine-grained temporal contrastive learning (FSD and LCS)ACM-Net · THUMOS14 testmAP@Avg (%): 42.6 -> 43.6Helped
add fine-grained temporal contrastive learning (FSD and LCS)ACM-Net · ActivityNet1.3 validationmAP@Avg (%): 24.6 -> 24.8Helped
add FSD contrasting (ablation)FTCL · THUMOS14 testmAP@Avg (%): 42.8 -> 43.6Helped
add LCS contrasting (ablation)FTCL · THUMOS14 testmAP@Avg (%): 43.0 -> 43.6Helped
use FSD contrasting for both separation and adaptation objectives instead of dedicated FSD and LCS objectives (ablation)FTCL · THUMOS14 testmAP@Avg (%): 43.2 -> 43.6Hurt
use LCS contrasting for both separation and adaptation objectives instead of dedicated FSD and LCS objectives (ablation)FTCL · THUMOS14 testmAP@Avg (%): 43.1 -> 43.6Hurt
replace FSD and LCS with standard differentiable DTW (ablation)FTCL · THUMOS14 testmAP@Avg (%): 43.1 -> 43.6Hurt
add FTCLSTPN · THUMOS14 testmAP@Avg (%): 27.2 -> 29.0 (+1.8)Helped
add FTCLW-TALC · THUMOS14 testmAP@Avg (%): 34.5 -> 35.7 (+1.2)Helped
add FTCLCoLA · THUMOS14 testmAP@Avg (%): 41.7 -> 42.3 (+0.6)Helped

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