YOLOv3
YOLOv3
**YOLOv3** is a real-time, single-stage object detection model that builds on [YOLOv2](https://paperswithcode.com/method/yolov2) with several improvements. Improvements include the use of a new backbone network, [Darknet-53](https://paperswithcode.com/method/darknet-53) that utilises residual connections, or in the words of the author, "those newfangled residual network stuff", as well as some improvements to the bounding box prediction step, and use of three different scales from which to extract features (similar to an [FPN](https://paperswithcode.com/method/fpn)).
YOLOv3: An Incremental Improvement
https://paperswithcode.com/paper/yolov3-an-incremental-improvement
YOLOv3: An Incremental Improvement