Research map / Continual learning / Domain and prompt-based
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use AKA instead of CRL | Lifelong person ReID · LReID-Unseen | mAP: 39.6$\pm$ 0.4 -> 44.3$\pm$ 0.2 | Helped |
| Use AKA instead of CRL | Lifelong person ReID · LReID-Seen (average across domains) | mAP: 30.8 -> 32.3 | Helped |
| Add plasticity loss to the LwF baseline (ablation) | LReID model · LReID-Unseen | mAP: 38.3 -> 41.6 | Helped |
| Add plasticity loss to the LwF baseline (ablation) | LReID model · LReID-Seen | mAP: 29.6 -> 29.5 | No clear effect |
| Add stability loss to the model with plasticity loss (ablation) | LReID model · LReID-Seen | mAP: 29.5 -> 32.3 | Helped |
| Add stability loss to the model with plasticity loss (ablation) | LReID model · LReID-Unseen | mAP: 41.6 -> 44.3 | Helped |
| Remove distillation loss from full AKA (ablation) | AKA · LReID-Seen | mAP: 32.3 -> 28.5 | Hurt |
| Remove distillation loss from full AKA (ablation) | AKA · LReID-Unseen | mAP: 44.3 -> 42.1 | Hurt |
| Increase the number of knowledge graph vertices (ablation) | AKA · LReID-Unseen | mAP | Helped |
| Set the plasticity weight very large (ablation) | AKA · LReID generalization | representation generalization | Hurt |
Closest papers by meaning
- Lifelong Person Re-identification by Pseudo Task Knowledge Preservation (AAAI 2022 · similarity 0.93)
- LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification (AAAI 2024 · similarity 0.91)
- Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification (CVPR 2024 · similarity 0.91)
- DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification (AAAI 2025 · similarity 0.89)
- DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification (CVPR 2025 · similarity 0.88)
- A Unified and General Framework for Continual Learning (ICLR 2024 · similarity 0.86)
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