Abstract
One of the major issues in the realm of computer vision is the work of object recognition, which is to identify all interesting items in the image and establish their location and size. The most difficult issue in the field of machine vision has always been target recognition because of the varied differences in appearance, shape, and position of diverse objects as well as the interference of light, occlusion, and other elements in imaging. This article evaluates numerous target detection publications based on the advancement of target detection technology. The different target detection networks are analysed and discussed. In addition, test datasets and evaluation indicators are summarized. In the end, the paper summarizes and looks forward to the full text.
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