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Table 9 Evaluations on the ShanghaiTech [5] dataset

From: TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks

Method

Part A

Part B

MAE

RMSE

MAE

RMSE

MCNN [5]

110.2

173.2

26.4

41.3

CP-CNN [25]

73.6

106.4

20.1

30.1

ACSCP [24]

75.7

102.7

17.2

27.4

CSRNet\(^\dagger\) [23]

68.2

115.0

10.6

16.0

TasselNet [9]

87.0

138.9

16.7

28.1

TasselNetv2

84.1

140.1

15.3

27.8

TasselNetv2\(^\dagger\)

66.8

112.1

9.6

17.5

  1. \(^\dagger\) means the model is fine-tuned from the pretrained VGG16. The best performance is in italics