A Lightweight and Multisource Information Fusion Method for Real-Time Monitoring of Lump Coal on Mining Conveyor Belts

Figure 6

GEB YOLOv5 model structure. Notes: the stride size of rectangular convolution is 2, and the convolution size is 6 × 2. SPP_F denotes the maximum pooling combination of 5 × 5 sensory fields. Upsampling can change the size of the output image, which facilitates the fusion of features at different stages. AM_1 and AM_2 indicate the different positions of the ECA mechanism that was applied in the ablation experiment, and the two positions of the attention mechanism will not appear simultaneously. is the number of input and output channels, and is the current feature map size.