Table 6 The mAP, Rank-1 and Rank-5 on VRIC dataset (in %).

From: A vehicle re-identification framework based on the improved multi-branch feature fusion network

Method

mAP

Rank-1

Rank-5

References

MSVF8

47.50

46.61

65.58

arXiv 2018

GRF + GGL38

71.66

63.68

81.85

CVPR 2018

PGAN21

84.80

78.00

93.20

arXiv 2020

GLAMOR24

76.48

78.58

93.63

arXiv 2020

Ours

82.75

79.97

94.09

Proposed

  1. Bold indicate the best results for the corresponding metrics.
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