Research Article
Person Reidentification Model Based on Multiattention Modules and Multiscale Residuals
Table 2
Experimental results of this model compared with other Re-ID models.
| Type | Method | Market-1501 | DukeMTMC-reID | mAP | Rank-1 | mAP | Rank-1 |
| Stripe-based | AlignedReID [13] | 77.7 | 90.6 | 67.4 | 81.2 | PCB + RPP [15] | 81.6 | 93.8 | 69.2 | 83.3 | BFE [29] | 85.0 | 94.5 | 75.8 | 88.7 | MGN [16] | 86.9 | 95.7 | 78.4 | 88.7 | Pyramid [17] | 88.2 | 95.7 | 79.0 | 89.0 | LocalCNN [30] | 87.4 | 95.9 | - | - |
| GAN-based | PN-GAN [31] | 72.6 | 89.4 | 53.2 | 73.6 | DG-Net [32] | 86.0 | 94.8 | 74.8 | 86.6 |
| Global Feature | SVDNet [33] | 62.1 | 82.3 | 56.8 | 76.7 | IA-Net [9] | 83.1 | 94.4 | 73.4 | 87.1 | OS-Net [7] | 84.9 | 94.8 | 73.5 | 88.6 | BagOfTricks [21] | 85.9 | 94.5 | 76.4 | 86.4 | AGW [34] | 87.8 | 95.1 | 79.6 | 89.0 |
| Attention-based | MHN [10] | 85.0 | 95.1 | 77.2 | 89.1 | ABD-Net [12] | 88.3 | 95.6 | 78.6 | 89.0 | RGA-SC [35] | 88.1 | 95.8 | 74.9 | 85.1 | SONA [12] | 88.8 | 95.7 | 78.3 | 89.5 | Robust-ReID [8] | 89.7 | 96.2 | 80.3 | 89.8 | Ours | 88.2 | 96.2 | 76.4 | 89.6 | | Ours(Re-rank) | 94.6 | 96.5 | 89.5 | 91.9 |
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