PP-YOLO: An Effective and Efficient Implementation of Object Detector

December 2020

tl;dr: A bag of tricks to train YOLOv3.

Overall impression

This paper and YOLOv4 both starts from YOLOv3 but adopts different methods. YOLOv4 explores extensively recent advances in backbones and data augmentation, while PP-YOLO adopts more training tricks. Their improvements are orthogonal.

The paper is more like a cookbook/recipe, and the focus is how to stack effective tricks that hardly affect efficiency to get better performance.

Key ideas

Technical details