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

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Network model</td><td class="align_center">ResNeXt50 (M)</td><td class="align_center">ResNeXt50-MRC (M)</td><td class="align_center">ResNeXt50-LM (M)</td><td class="align_center">ResNeXt50-CA (M)</td><td class="align_center">DCCAM-MRNet (M)</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Parameters</td><td class="align_center">23.00</td><td class="align_center">22.33</td><td class="align_center">22.68</td><td class="align_center">23.94</td><td class="align_center">22.89</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of model parameters.</div>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification 

Table 4 | DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification 