Table 2 Comparison with state-of-the-art methods on the SYSU-MM01 dataset in two search modes.
From: Dynamic adaptive synergistic attention network for visible-infrared person re-identification
Method | Classification | All-Search | Indoor-Search | ||
|---|---|---|---|---|---|
Rank-1 | mAP | Rank-1 | mAP | ||
AGW4 | Generative-based | 47.50 | 47.65 | 54.17 | 62.97 |
DDAG17 | 54.75 | 53.02 | 61.02 | 67.98 | |
NFS64 | 56.91 | 55.45 | 62.79 | 69.79 | |
PCAL65 | 57.94 | 52.85 | 60.07 | 66.73 | |
HC-Tri52 | 61.68 | 57.51 | 63.41 | 68.17 | |
DLM66 | 62.15 | 58.42 | 67.31 | 72.86 | |
MMM67 | 65.90 | 61.80 | 70.30 | 74.90 | |
CIA68 | 68.19 | 64.82 | 73.28 | 77.49 | |
JSIA-ReID69 | Generative-based | 38.10 | 36.90 | 43.80 | 52.90 |
TSME70 | 64.23 | 61.21 | 64.80 | 71.53 | |
CMTR71 | Transformer-based | 65.45 | 62.90 | 71.46 | 76.67 |
PMT72 | 67.53 | 64.98 | 71.66 | 76.52 | |
Ours | CNN-based | 68.72 | 64.52 | 74.06 | 78.66 |
