YOLOX: New Improved YOLO

An Advanced, Anchor-free, High performing YOLO detector

YOLOX is a high-performing object detector, an improvement to the existing YOLO series. YOLO series are in constant exploration of techniques to improve the object detection techniques for optimal speed and accuracy trade-off for real-time applications.

Key features of the YOLOX object detector

• Anchor-free detectors significantly reduce the number of design parameters
• A decoupled head for classification, regression, and localization improves the convergence speed
• SimOTA advanced label assignment strategy reduces training time and avoids additional solver hyperparameters
• Strong data augmentations like MixUp and Mosiac to boost YOLOX performance

Speed-accuracy trade-off of different object detector models and Size-accuracy curve of lite object detector models

source:YOLOX: Exceeding YOLO Series in 2021

YOLOX Architecture

Baseline YOLOv3 Architecture

YOLOX uses YOLOv3 with Darknet53 as the baseline and a Spatial Pyramid Pooling(SPP) layer, which…