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Table 3 Comparison with the state-of-the-art methods on the CUHK03 dataset using the multi-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

S-LSTM [33]

57.3

80.1

88.3

46.3

Gate-SCNN [34]

68.1

88.1

94.6

58.8

Part-based features

20.6

42.8

55.5

19.8

Body-based features

81.0

90.3

95.0

76.2

DFBP

81.8

91.8

95.7

78.0

  1. The data in italics are the best result in each evaluation protocol