Overall architecture of the EasyDAM_V4 method. (IMAGE)
Caption
Overall architecture of the EasyDAM_V4 method. The overall architecture of the proposed method involves seven main parts. The source domain foreground fruit image represented by (1) and the labeled target domain fruit dataset represented by (7) are the input and output of the method, respectively. Boxes (2) and (3) illustrate the main innovation points of this paper. (2) The shape texture feature map obtained by using the latent space-based multi-dimensional phenotype feature extraction method. The fruit translation model is trained together with the original RGB image after concatenation. (3) The multi-dimensional loss function module based on the entropy weight method, which is used to accurately describe the phenotypic features of fruits during the training process. Rectangles of different colors indicate the fruit image translation results controlled by different categories of loss functions.
Credit
Horticulture Research
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CC BY