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Video Event Extraction via Tracking Visual States of Arguments

AAAI 2023 · Detection and segmentation › Tracking · approach: Transformer-based video object tracking · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Track argument visual states using pixel changes, displacements, temporal aggregation, and object interactionsSlowFast for verb classification · VidSitu validationF1@5: 17.87 -> 21.40Helped
Track argument visual states using pixel changes, displacements, and temporal aggregationSlowFast for semantic role prediction · VidSitu validationCIDEr: 44.49 ±2.30 -> 48.46 ±1.84Helped
Add bounding-box displacements to pixel-based Object State Embedding (ablation)OSE-pixel + OME · VidSitu validationF1@5: 21.24 -> 21.34Helped
Add bounding-box displacements to pixel-based Object State Embedding (ablation)OSE-pixel + OME · VidSitu validationCIDEr: 47.82 ±2.12 -> 48.46 ±1.84Helped
Add Object Interaction Embedding (ablation)OSE-pixel/disp + OME for verb classification · VidSitu validationF1@5: 21.34 -> 21.40Helped
Add Object Interaction Embedding (ablation)OSE-pixel/disp + OME for semantic role prediction · VidSitu validationCIDEr: 48.46 ±1.84 -> 47.16 ±1.71Hurt
Vary the maximum number of tracked objects from 8 to 2 or 4 (ablation)Proposed model for verb classification · VidSitu validationF1@5: 21.40; 21.53; 21.29No clear effect
Use LSTM rather than average pooling for state aggregation (ablation)OME for verb classification · VidSitu validationF1@5: 21.36 -> 21.30No clear effect

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