Table 2 The summary of DCNN architectures investigated in this work.

From: Classification and Morphological Analysis of Vector Mosquitoes using Deep Convolutional Neural Networks

DCNN Model

# of Layers (#Conv. + #FC)

# of Parameters (Ă—106)

Top-5 accuracy on ImageNet-2012

Latency [ms]

Energy/Inference [mWh]

VGG-16

13 + 3

138

90.4

98.63

0.32

ResNet-50

49 + 1

25.6

94.7

40.18

0.14

SqueezeNet

18 + 0

1.23

80.3

13.26

0.03

  1. The specification of the DCNN models are from their respective original papers28,29,32 except the inference latency and energy consumption. For consistency, the inference latency and energy consumption are all measured in the Nvidia Jetson TX2 embedded device.
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