Unsupervised Domain Adaptation On Duke To 1
Métriques
mAP
rank-1
rank-10
rank-5
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mAP | rank-1 | rank-10 | rank-5 |
|---|---|---|---|---|
| unsupervised-person-re-identification-via-1 | 16.2 | 43.6 | 58.9 | 54.3 |
| person-transfer-gan-to-bridge-domain-gap-for | 3.3 | 11.8 | 27.4 | - |
| one-shot-domain-adaptation-for-person-re | 13.3 | 32.2 | 51.2 | - |
| person-re-identification-in-the-3d-space | 1.9 | 6.8 | - | - |
| learning-to-adapt-invariance-in-memory-for | 16.0 | 42.5 | 61.5 | 55.9 |
| joint-discriminative-and-generative-learning | 6.35 | 20.59 | 37.04 | 31.67 |
| core-reid-comprehensive-optimization-and | 45.2 | 72.2 | 86.3 | 82.9 |
| attentive-waveblock-complementarity-enhanced | 30.7 | 62.7 | 79.0 | 74.5 |
| unsupervised-and-self-adaptative-techniques | 34.5 | 63.9 | 79.6 | 75.3 |
| mutual-mean-teaching-pseudo-label-refinery-1 | 23.3 | 50.1 | 69.8 | 63.9 |
| structured-domain-adaptation-for-unsupervised | 25.6 | 54.4 | 71.3 | 66.4 |
| invariance-matters-exemplar-memory-for-domain | 10.2 | 30.2 | 46.8 | 41.5 |
| self-paced-contrastive-learning-with-hybrid | 26.5 | 53.1 | 70.5 | 65.8 |