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Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations

CVPR 2023 · Video › Action recognition · approach: Temporal action segmentation · 23 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add diffusion-based temporal order modeling to matching pre-training (ablation)Video representation learning · COIN step classification, zero-shotTop-1 accuracy (%): 13.7% to 16.6%Helped
Add temporal order modeling to matching pre-training (ablation)Video representation learning · COIN step forecasting, zero-shotTop-1 accuracy (%): No zero-shot ability -> 11.3%Helped
Add temporal order modeling to matching pre-training (ablation)Video representation learning · COIN step forecasting, fine-tuningTop-1 accuracy (%): +1.8%Helped
Use diffusion instead of masked prediction for temporal order modeling (ablation)Procedure-aware video representation · COIN step forecasting, fine-tuningTop-1 accuracy (%): +3.6%Helped
Use diffusion instead of masked prediction for temporal order modeling (ablation)Procedure-aware video representation · COIN step forecasting, zero-shotTop-1 accuracy (%): +0.7%Helped
Replace zero-vector approximate inference with Monte Carlo estimation (ablation)Ours · COIN step forecasting, zero-shotTop-1 accuracy (%): 11.33 -> 11.34 ± 0.03No clear effect
Use oracle ranking to choose among multiple sampled predictions (ablation)Ours · COIN step forecasting, zero-shotTop-1 accuracy (%): 11.33 -> 14.73 ± 0.13Helped
Use ASR phrases instead of wikiHow sentences (ablation)Pre-training step descriptions · COIN step forecasting, zero-shotTop-1 accuracy (%): 8.3 -> 9.0Helped
Use ASR phrases instead of wikiHow sentences (ablation)Pre-training step descriptions · COIN step forecasting, fine-tuningTop-1 accuracy (%): 38.0 -> 38.9Helped
Replace TimeSformer with MViT-S (ablation)Video encoder · COIN step classification, zero-shotTop-1 accuracy (%): 16.6 -> 12.5Hurt
Replace TimeSformer with MViT-S (ablation)Video encoder · COIN step forecasting, zero-shotTop-1 accuracy (%): 11.3 -> 9.0Hurt
Use procedure-aware matching and temporal ordering rather than matching only (ablation)Video representation learning · COIN step classification, fine-tuningTop-1 accuracy (%): 52.8 -> 56.9Helped

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