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

Table 5

Comparison of recognition accuracy and parameters of different networks.

Network model	Parameters (M)	Accuracy (%)
ResNeXt50	23.00	85.6
ResNeXt50-DC	23.00	88.3
ResNeXt50-CA	23.94	90.2
ResNeXt50-MRC	22.33	87.5
ResNeXt50-DC-CA	23.94	93.1
ResNeXt50-DC-MRC	22.33	89.6
ResNeXt50-CA-MRC	23.17	92.5
DCCAM-MRNet	22.89	94.3