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Person30K: A Dual-Meta Generalization Network for Person Re-Identification

CVPR 2021 · Label-efficient and robust learning › Recognition and long-tail · approach: Cross-modality and occlusion re-identification · 61 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add the dual-meta training and discrimination schemeResNet50 ReID model · Person30K Test-AmAP: 69.19 -> 72.19Helped
add the dual-meta training and discrimination schemeResNet50 ReID model · Person30K Test-BmAP: 62.81 -> 64.44Helped
add the dual-meta training and discrimination schemeResNet50 ReID model · Person30K Test-CmAP: 62.01 -> 64.39Helped
add meta-discrimination loss (ablation)Bag-of-Tricks ReID baseline · Person30K Test-AmAP: 69.19 -> 71.01Helped
add meta-discrimination loss (ablation)Bag-of-Tricks ReID baseline · Person30K Test-BmAP: 62.81 -> 62.49No clear effect
add meta-discrimination loss (ablation)Bag-of-Tricks ReID baseline · Person30K Test-CmAP: 62.01 -> 62.47Helped
add meta-generalization training (ablation)Bag-of-Tricks ReID baseline · Person30K Test-AmAP: 69.19 -> 70.07Helped
add meta-generalization training (ablation)Bag-of-Tricks ReID baseline · Person30K Test-BmAP: 62.81 -> 63.72Helped
add meta-generalization training (ablation)Bag-of-Tricks ReID baseline · Person30K Test-CmAP: 62.01 -> 63.97Helped
add meta-discrimination loss to meta-generalization training (ablation)ResNet50 ReID model · Person30K Test-BmAP: 63.72 -> 64.44Helped
add meta-discrimination loss to meta-generalization training (ablation)ResNet50 ReID model · Person30K Test-CmAP: 63.97 -> 64.39Helped

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