DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Network model</td><td class="align_center">Parameters (M)</td><td class="align_center">Accuracy (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">ResNeXt50</td><td class="align_center">23.00</td><td class="align_center">86.6</td></tr><tr><td class="align_left">ResNeXt50-DC</td><td class="align_center">23.00</td><td class="align_center">88.3</td></tr><tr><td class="align_left">DCCAM-MRNet</td><td class="align_center">22.89</td><td class="align_center">94.3</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The accuracy of three networks.</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification 

Table 2 | DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification 