Abstract
With the rapid development of computer vision, fine-grained image recognition technology has shown strong value in catering, online shopping, education, urban transportation and other fields. The fine-grained image recognition technology can be divided into strong-supervised fine-grained image recognition and weak-supervised fine-grained image recognition. Strongly supervised fine-grained image recognition requires proper manual marking of the area to be identified in the image before training. Its preparation is time-consuming and labor-intensive, and manual marking is highly professional.
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