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Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification

CVPR 2021 · Video › Video segmentation and tracking · approach: Spatial-temporal video person re-identification · 110 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use GRL instead of the strongest reported Rank-1 baselineVideo-based person Re-ID · MARSRank-1: 90.2 -> 91.0Helped
Use GRL instead of MGRAVideo-based person Re-ID · MARSmAP: 85.9 -> 84.8Hurt
Use GRL instead of MGRAVideo-based person Re-ID · iLIDS-VIDRank-1: 88.6 -> 90.4Helped
Use GRL instead of MGRAVideo-based person Re-ID · PRID2011Rank-1: 95.9 -> 96.2Helped
Add GCE-guided disentanglement and use high-correlation features (ablation)GRL baseline · MARSRank-1: 88.5 -> 89.5Helped
Combine high- and low-correlation features (ablation)GCE · MARSRank-1: 89.5 -> 90.1Helped
Add temporal reciprocal learning (ablation)GCE model · MARSmAP: 83.3 -> 84.8Helped
Add the memory block (ablation)GRL · MARSmAP: 84.2 -> 84.8Helped
Add the enhancement block (ablation)GRL · MARSmAP: 83.4 -> 84.8Helped
Use sequence length 8 rather than length 4 (ablation)GRL · MARSmAP: 83.0 -> 84.8Helped
Increase sequence length from 8 to 10 (ablation)GRL · MARSmAP: 84.8 -> 83.9Hurt
Combine forward and backward temporal learning (ablation)GRL · MARSRank-1: 89.9 -> 91.0Helped

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