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Advances, Systems and Applications

Table 3 Comparison of precision and CLE on OTB100

From: A cloud-oriented siamese network object tracking algorithm with attention network and adaptive loss function

Benchmark

Evaluating indicator

KCF

Staple

SiamFC

SiamRPN

SiamRPN++

Siam R-CNN

SiamANAL

OTB100

precision

0.525

0.693

0.771

0.841

0.843

0.784

0.883

CLE

35.2

33.1

23.1

15.5

14.3

17.2

9.6

Speed (FPS)

89

23.8

50

21

15

3.7

49