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We illustrate the developmental timeline of object detection, dividing it into the traditional and deep learning eras. Within deep learning, object detection algorithms have evolved into two main technical approaches: Anchor-based methods and Anchor-free methods. Anchor-based methods further branch into one-stage and two-stage approaches. In the paper, I elaborate on the development and technical characteristics of these methods. Through this exploration of object detection methods, we gain a deeper understanding of detection-related multiple object tracking. |
IEEE/ICACT20240469 Slide.07
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