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Horizontal Pyramid Matching for Person Re-Identification

AAAI 2019 · Label-efficient and robust learning › Recognition and long-tail · approach: Supervised person re-identification · 464 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add a multi-scale horizontal pyramid instead of using only same-sized partitions (ablation)HPM · Market-1501mAP: 71.2 -> 82.7Helped
increase average-pooled pyramid scales from 1 to 4 (ablation)HPM · Market-1501mAP: 71.2 -> 79.5Helped
increase average-pooled pyramid scales from 1 to 4 (ablation)HPM · DukeMTMC-ReIDmAP: 61.0 -> 72.1Helped
increase average-pooled pyramid scales from 1 to 4 (ablation)HPM · CUHK03mAP: 37.3 -> 53.4Helped
use max pooling instead of average pooling alone (ablation)HPM with 4 scales · Market-1501mAP: 79.5 -> 81.6Helped
use max pooling instead of average pooling alone (ablation)HPM with 4 scales · DukeMTMC-ReIDmAP: 72.1 -> 74.1Helped
use max pooling instead of average pooling alone (ablation)HPM with 4 scales · CUHK03mAP: 53.4 -> 57.4Helped
combine average and max pooling rather than using max pooling alone (ablation)HPM with 4 scales · Market-1501mAP: 81.6 -> 82.7Helped
combine average and max pooling rather than using max pooling alone (ablation)HPM with 4 scales · DukeMTMC-ReIDmAP: 74.1 -> 74.3Helped
combine average and max pooling rather than using max pooling alone (ablation)HPM with 4 scales · CUHK03mAP: 57.4 -> 57.5Helped
add 12 or 24 pyramid scales (ablation)HPM · person re-identification benchmarksmAPNo clear effect

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