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Lifelong Person Re-identification by Pseudo Task Knowledge Preservation

AAAI 2022 · Continual learning › Domain and prompt-based · approach: Lifelong person re-identification · 47 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Apply PTKP instead of the strongest listed non-proposed baselineLifelong person Re-ID · Market-1501, DukeMTMC, CUHK-SYSU, and MSMT17mAP: 69.6 -> 77.0; 58.2 -> 63.8; 85.9 -> 88.4; 41.2 -> 41.9Helped
Apply PTKP instead of the strongest listed baselineLifelong person Re-ID generalization · CUHK01, CUHK03, GRID, SenseReIDRank-1: 78.2 -> 79.1; 45.0 -> 54.1; 29.6 -> 31.5; 42.7 -> 44.8Helped
Add task-specific domain consistency loss (ablation)PTKP · Market-1501, DukeMTMC, CUHK-SYSU, MSMT17mAP: Exp 1 -> Exp 2: 72.4 -> 74.2; 59.3 -> 62.5; 86.1 -> 86.2; 36.1 -> 37.1Helped
Add pseudo-task knowledge distillation (ablation)PTKP with LDCL · Market-1501, DukeMTMC, CUHK-SYSU, MSMT17mAP: Exp 2 -> Exp 3: 74.2 -> 76.6; 62.5 -> 64.2; 86.2 -> 86.6; 37.1 -> 37.9Helped
Add pseudo-task identity discrimination (ablation)PTKP with LDCL and LPT-KD · Market-1501, DukeMTMC, CUHK-SYSU, MSMT17mAP: Exp 3 -> Exp 4: 76.6 -> 76.5; 64.2 -> 63.5; 86.6 -> 88.2; 37.9 -> 42.1Mixed
Use feature-output distillation instead of pseudo-task knowledge distillation (ablation)PTKP ablation · Market-1501, DukeMTMC, CUHK-SYSU, MSMT17mAP: Exp 4 vs Exp 5: 76.5 -> 73.7; 63.5 -> 62.1; 88.2 -> 86.4; 42.1 -> 41.2Mixed
Add ambiguity-aware instance weighting (ablation)PTKP with Lbase, LDCL, LPT-KD, and LPT-ID · Market-1501, DukeMTMC, CUHK-SYSU, MSMT17mAP: Exp 4 -> Exp 7: 76.5 -> 77.0; 63.5 -> 63.8; 88.2 -> 88.4; 42.1 -> 41.9Mixed
Remove task-specific domain consistency loss (ablation)PTKP · Market-1501, DukeMTMC, CUHK-SYSU, MSMT17mAP: Exp 7 vs Exp 6: 77.0 -> 74.6; 63.8 -> 60.8; 88.4 -> 88.3; 41.9 -> 40.1Mixed

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