Table 3 The backbone, mAP, Rank-1 and Rank-5 for comparison experiments on VeRi-776 dataset.

From: Transformer-based vehicle re-identification with view information

Methods

Backbone

mAP

Rank-1

Rank-5

VAMI19

F-net

61.32

85.92

91.84

RAM18

VGG_CNN_M

61.5

88.6

94.0

VANet34

GoogleNet

66.34

89.78

95.99

AAVER17

ResNet-101

66.35

90.17

94.34

SPAN22

ResNet-50

68.9

94.0

97.6

DFLNet20

ResNet-50

73.29

93.21

97.56

PNVR21

ResNet-50

74.3

94.3

98.7

V2ReID8

Transformer

78.02

96.24

-

PATReID7

Transformer

79.0

96.0

-

PGAN35

ResNet-50

79.3

96.5

-

TVG-ReID9

CNN+Transformer

79.3

96.6

98.9

PVEN23

ResNet-50

79.5

95.6

98.4

UFDN10

Transformer

81.5

96.4

-

TransReID47

DeiT

82.3

97.1

-

SPCN48

ResNet-50

82.7

96.8

98.5

MART11

Transformer

82.7

97.6

98.7

TVRVI(ours)

SwinT

84.7

97.8

98.7

  1. For clarity, the best performance in each column is highlighted in bold.