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EURASIP Journal on Wireless Communications and Networking

Table 2 Comparison with state-of-the-art results on the CUHK03 dataset [7] using the singe-shot setting

From: Learning local embedding deep features for person re-identification in camera networks

Method

Rank-1

Rank-5

Rank-10

mAP

KISSME [29]

11.7

33.3

48.0

–

DeepReID [7]

19.9

49.3

67.4

–

BoW+HS [12]

24.3

–

–

–

LOMO+XQDA [12]

46.3

78.9

88.6

–

SI+CI [50]

52.2

84.3

94.8

–

DNS [49]

54.7

80.1

88.3

–

Verif-identif [10]

83.4

97.1

98.7

86.4

LEDF

84.6

96.8

98.5

86.9

  1. The rank-1, rank-5, and rank-10 accuracy and mAP are listed. The itakicized part shows the best results
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