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Discrimination-Aware Mechanism for Fine-Grained Representation Learning

CVPR 2021 · Label-efficient and robust learning › Recognition and long-tail · approach: Contrastive representation theory · 17 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Apply DAM to both SCE and TriHardSCE+TriHard · CUB-200-2011Recall@1: 71.2 -> 72.3Helped
Apply DAM to both SCE and TriHardSCE+TriHard · Cars196Recall@1: 88.5 -> 88.9Helped
Apply DAM to both SCE and TriHardSCE+TriHard · Market-1501mAP: 87.8 -> 88.9Helped
Apply DAM to both SCE and TriHardSCE+TriHard · MSMT17mAP: 56.1 -> 61.6Helped
Apply DAM to SCE only (ablation)SCE · CUB-200-2011Recall@1: 69.8 -> 70.9Helped
Apply DAM to TriHard only (ablation)SCE+TriHard · CUB-200-2011Recall@1: 71.2 -> 71.9Helped
Apply DAM to SCE only (ablation)SCE · Cars196Recall@1: 86.9 -> 88.1Helped
Apply DAM to TriHard only (ablation)SCE+TriHard · Cars196Recall@1: 88.5 -> 88.6Helped
Apply DAM to SCE only (ablation)SCE · Market-1501mAP: 85.8 -> 86.7Helped
Apply DAM to TriHard only (ablation)SCE+TriHard · Market-1501mAP: 87.8 -> 88.1Helped
Apply DAM to SCE only (ablation)SCE · MSMT17mAP: 48.6 -> 53.2Helped
Apply DAM to TriHard only (ablation)SCE+TriHard · MSMT17mAP: 56.1 -> 60.2Helped

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