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Semi-Supervised Video Paragraph Grounding With Contrastive Encoder

CVPR 2022 · Video › Video-language understanding · approach: Temporal video grounding · 45 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SVPTR instead of DepNetVideo paragraph grounding · ActivityNet-CaptionRecall@1, IoU=0.5: 55.91 -> 61.70Helped
Use SVPTR instead of DepNetVideo paragraph grounding · Charades-CD-OODmIoU: 29.30 -> 36.01Helped
Use SVPTR instead of DepNetVideo paragraph grounding · TACoSRecall@1, IoU=0.3: 41.34 -> 47.89Helped
Train SVPTR with only 10% labeled data instead of DepNet@10%Video paragraph grounding · ActivityNet-CaptionRecall@1, IoU=0.5: 45.14 -> 56.72Helped
Train SVPTR with only 30% labeled data instead of DepNet@30%Video paragraph grounding · Charades-CD-OODmIoU: 28.09 -> 32.13Helped
Add multimodal encoding (ablation)VPTR · ActivityNet-CaptionmIoU: 50.02 -> 50.34Helped
Add contrastive loss to the multimodal-encoding variant (ablation)VPTR · ActivityNet-CaptionmIoU: 50.34 -> 50.14Hurt
Add consistency loss to the sentence-query variant (ablation)VPTR · ActivityNet-CaptionmIoU: 50.02 -> 51.04Helped
Add contrastive loss to the consistency-loss variant (ablation)VPTR · ActivityNet-CaptionmIoU: 51.04 -> 50.42Hurt
Add feature perturbations (ablation)SVPTR · ActivityNet-CaptionmIoU: 51.70 -> 51.98Helped
Remove sentence-level contextual information (ablation)VPTR · ActivityNet-Caption and Charades-CD-OODgrounding precisionHurt
Shuffle sentence order (ablation)VPTR · ActivityNet-Caption and Charades-CD-OODgrounding precisionHurt

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