YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6

• URL: http://arxiv.org/abs/2208.13040v3
• Date: Tue, 26 Sep 2023 15:05:48 GMT
• Title: YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6
• Authors: Ziheng Wu, Xinyi Zou, Wenmeng Zhou, Jun Huang
• Abstract summary: We develop an all-in-one computer vision toolbox named EasyCV to facilitate the use of various SOTA computer vision methods. We conduct ablation studies to investigate the influence of some detection methods on YOLOX. We receive 42.8 mAP on dateset within 1.0 ms on a single NVIDIA V100 GPU, which is a bit faster than YOLOv6.
• Score: 9.467160135481713
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We develop an all-in-one computer vision toolbox named EasyCV to facilitate the use of various SOTA computer vision methods. Recently, we add YOLOX-PAI, an improved version of YOLOX, into EasyCV. We conduct ablation studies to investigate the influence of some detection methods on YOLOX. We also provide an easy use for PAI-Blade which is used to accelerate the inference process based on BladeDISC and TensorRT. Finally, we receive 42.8 mAP on COCO dateset within 1.0 ms on a single NVIDIA V100 GPU, which is a bit faster than YOLOv6. A simple but efficient predictor api is also designed in EasyCV to conduct end2end object detection. Codes and models are now available at: https://github.com/alibaba/EasyCV.

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