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Table 3 Comparison towards the floating point computations (FLOPs) when processing images with the resolution of \(1216\times 912\). Only the single-precision floating point multiplication are taken into account

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

 TasselNetTasselNetv2
Non-overlapDense sample
conv1\(4.70\times 10^{8}\)\(6.92\times 10^{9}\)\(4.79\times 10^{8}\)
conv2\(1.24\times 10^{9}\)\(1.83\times 10^{10}\)\(1.28\times 10^{9}\)
conv3\(1.22\times 10^{9}\)\(1.81\times 10^{10}\)\(1.28\times 10^{9}\)
conv4\(2.44\times 10^{9}\)\(3.61\times 10^{10}\)\(2.56\times 10^{9}\)
conv5\(2.44\times 10^{9}\)\(3.61\times 10^{10}\)\(2.56\times 10^{9}\)
conv6(fc1)\(5.17\times 10^{8}\)\(2.07\times 10^{9}\)\(2.07\times 10^{9}\)
conv7(fc2)\(1.75\times 10^{7}\)\(6.46\times 10^{7}\)\(6.46\times 10^{7}\)
conv8(fc3)\(1.26\times 10^{5}\)\(5.05\times 10^{5}\)\(5.05\times 10^{5}\)
Total\(8.34\times 10^{9}\)\(1.16\times 10^{11}\)\(1.03\times 10^{10}\)