YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/ - Megvii-BaseDetection/Y...

2021年7月18日 · Abstract: In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX. We switch the YOLO detector to an anchor-free manner and conduct other advanced detection techniques, i.e., a decoupled head and the leading label assignment strategy SimOTA to achieve state-of-the-art results ...

2022年5月17日 · Attempting to build the YOLOX algorithm from scratch. This series has 4 parts to fully go over the YOLOX algorithm: What is YOLO and What Makes It Special? The YOLOv3 algorithm is the basis for...

YOLO系列终于又回到了Anchor-free的怀抱，不用费劲心思去设计anchor了！ 旷视开源新的高性能检测器 YOLOX ，本文将近两年来 目标检测 领域的各个角度的优秀进展与YOLO进行了巧妙地集成组合，性能大幅提升。

2022年4月22日 · YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. For more details, please refer to our report on Arxiv .

The YOLOX object detection model is a single-stage, anchor-free technique, which significantly reduces the model size and improves computation speed compared to previous YOLO models . Instead of using memory-intensive predefined anchor boxes, YOLOX localizes objects directly by finding object centers.

2021年10月31日 · YOLOX is a state-of-the-art object detection model released in August 2021, which combines performance beyond YOLOv5 with a permissive Apache license. In this …

2021年7月18日 · In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.

YOLOX is a single-stage object detector that makes several modifications to YOLOv3 with a DarkNet53 backbone. Specifically, YOLO’s head is replaced with a decoupled one.

Custom trained YOLO, MobileNet vision models on mobile devices! Copyright 2025 — YOLOvX by Wiserli!. All rights reserved.