Fine-grained visual categorization is an important but challenging task in computer vision due to high intraclass and low inter-class variance. Classical fine-grained image recognition methods use a single-input with single-output approach. which limits the ability of the model to learn inference from paired images. Inspired by the behavior of human beings when discriminating fine-gra... https://foldlyers.shop/product-category/displayport-to-dvi-i/