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ER3: A Unified Framework for Event Retrieval, Recognition and Recounting

CVPR 2017 · Video › Video-language understanding · approach: Video moment retrieval · 29 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Align frame features into a video imprint and aggregate its active counting-grid descriptors instead of averaging frame descriptors (ablation)ER3 event retrieval · EVVEmAP: 47.3 -> 52.3Helped
Align frame features into a video imprint and aggregate its active counting-grid descriptors instead of averaging frame descriptors (ablation)ER3 event retrieval · EVVE+100KmAP: 38.7 -> 42.9Helped
Add average query expansion to counting-grid aggregationER3 event retrieval · EVVEmAP: 52.3 -> 58.5Helped
Add Difference of Neighborhood re-ranking to counting-grid aggregationER3 event retrieval · EVVEmAP: 52.3 -> 60.1Helped
Add the reasoning network to counting-grid aggregation (ablation)ER3 event recognition · CCVmAP: 79.1 -> 79.9Helped
Add the reasoning network to counting-grid aggregation (ablation)ER3 event recognition · MED14mAP: 33.7 -> 36.9Helped
Fuse audio and motion features with the RNet appearance representationER3 event recognition · CCVmAP: 79.9 -> 87.1Helped
Use a larger number of reasoning-network hops (ablation)ER3 event recognition · EVVEtest errorHelped
Add average spatial pooling inside the memory layer (ablation)ER3 recounting · event recounting examplesrecounting-map smoothnessHelped
Increase the active-map threshold to filter short shots (ablation)ER3 event retrieval · EVVEmAPMixed
Increase the counting-grid size beyond 24 (ablation)ER3 event retrieval · EVVEmAPNo clear effect

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