Fig. 4From: WheatLFANet: in-field detection and counting of wheat heads with high-real-time global regression networkWheatLFANet global regression architecture. The output channel numbers C1, C2, and C3 are 32, 64, and 128, respectively, with (Conv k × k) where k is the size of the convolutional kernel. Compared to the core architecture of TasselLFANet, the downsampling method is replaced by a normal Conv layer, and the feature mapping layer is a lighter CSPLayerBack to article page