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TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision

AAAI 2023 · Video › Video segmentation and tracking · approach: Self-supervised video representation learning · 23 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace handcrafted cosine similarity with attention-enhanced features and end-to-end optimization (ablation)TransVCL on VCSL · VCSLF-score: 62.39 -> 66.51Helped
Add self-attention and cross-attention (ablation)Basic localization model on VCSL · VCSLF-score: 62.39 -> 64.74Helped
Add video-level classification loss with attention (ablation)TransVCL on VCSL · VCSLF-score: 64.74 -> 65.33Helped
Add temporal encoding with attention (ablation)TransVCL on VCSL · VCSLF-score: 64.74 -> 66.34Helped
Use the full attention-enhanced model instead of the basic localization model (ablation)TransVCL · Video-level copy detectionF-score: 81.22 -> 90.19Helped
Add unlabeled training dataTransVCL with 1% labeled VCSL data · VCSL 1% labeledF-score: 23.10 -> 37.28 (+14.18)Helped
Add weakly labeled training dataTransVCL with 1% labeled VCSL data · VCSL 1% labeledF-score: 23.10 -> 44.87 (+21.77)Helped
Add unlabeled training dataTransVCL with 2% labeled VCSL data · VCSL 2% labeledF-score: 31.95 -> 44.80 (+12.85)Helped
Add weakly labeled training dataTransVCL with 2% labeled VCSL data · VCSL 2% labeledF-score: 31.95 -> 50.50 (+18.55)Helped
Add unlabeled training dataTransVCL with 5% labeled VCSL data · VCSL 5% labeledF-score: 47.71 -> 56.11 (+ 8.40)Helped
Add weakly labeled training dataTransVCL with 5% labeled VCSL data · VCSL 5% labeledF-score: 47.71 -> 58.03 (+10.32)Helped
Add unlabeled training dataTransVCL with 10% labeled VCSL data · VCSL 10% labeledF-score: 59.07 -> 61.98 (+2.91)Helped

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