Table 4.
Experimental comparison of the VeRi776 dataset.
| Models | mAP (%) | rank−1 (%) | rank−5 (%) |
|---|---|---|---|
| LOMO (Liao et al., 2015) | 9.64 | 25.33 | 46.48 |
| DGD (Xiao et al., 2016) | 17.92 | 50.70 | 67.52 |
| GoogLeNet (Yang et al., 2015) | 17.81 | 52.12 | 66.79 |
| FACT (Liu et al., 2016b) | 18.73 | 51.85 | 67.16 |
| Siamese Visual (Shen et al., 2017) | 29.48 | 41.12 | 60.31 |
| PAMAL (Tumrani et al., 2020) | 45.06 | - | - |
| MSCL (Yuefeng et al., 2022) | 45.90 | 81.20 | - |
| OIFE (Wang et al., 2017) | 48.00 | 65.92 | 87.66 |
| VAMI (Zhu et al., 2017) | 50.13 | 77.03 | 90.82 |
| QD-DFL (Zhu et al., 2020) | 51.83 | 88.50 | 94.46 |
| VRSDnet (Zhu et al., 2019) | 53.45 | 83.49 | 92.55 |
| FDA-Net (Lou et al., 2019a) | 53.46 | 84.27 | 92.43 |
| MV-GAN (Zhang et al., 2021) | 61.16 | 91.06 | 95.77 |
| VAAG (Tumrani et al., 2023) | 63.01 | 92.20 | 96.64 |
| VPEN (Meng et al., 2020) | 67.98 | 90.36 | 94.84 |
| VehicleNet (Zheng et al., 2021) | 67.48 | 90.58 | 95.47 |
| UFC (Wang et al., 2021) | 68.24 | 91.84 | 96.73 |
| CTCAL (Yu et al., 2021) | 68.65 | 90.46 | 95.97 |
| Ours | 68.83 | 92.94 | 96.88 |