PyTorch Object Detection :: Scaled-YOLOv4
What is Scaled YOLOv4
Scaled YOLOv4 is an extension of the YOLOv4 research, developed by Chien-Yao Wang, Alexey Bochkovskiy, and Hong-Yuan Mark Liao, and implemented in the YOLOv5 PyTorch framework. At its core, it primarily lies on Cross Stage Partial Networks, allowing the network to scale its depth, width, resolution, and structure while maintaining speed and accuracy.
Scaled YoloV4 Results
More info here: https://blog.roboflow.com/scaled-yolov4-tops-efficientdet/