Table 2 Comparison with the state-of-the-art methods on the CUHK03 dataset under the single-shot setting
From: Learning deep features from body and parts for person re-identification in camera networks
Method | Rank-1 | Rank-5 | Rank-10 | mAP |
|---|---|---|---|---|
KISSME [38] | 11.7 | 33.3 | 48.0 | – |
DeepReID [39] | 19.9 | 49.3 | 64.7 | – |
BoW+HS [19] | 24.3 | – | – | – |
LOMO+XQDA [7] | 46.3 | 78.9 | 88.6 | – |
SI-CI [40] | 52.2 | 84.3 | 94.8 | – |
DNS [32] | 54.7 | 80.1 | 88.3 | – |
SOMAnet [35] | 72.4 | 92.1 | 95.8 | – |
Part-based features | 17.8 | 46.7 | 64.3 | 24.8 |
Body-based features | 74.2 | 92.5 | 96.8 | 78.3 |
DFBP | 75.9 | 93.8 | 97.9 | 79.9 |