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upload YOLOX backbone
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yjh0410 committed Feb 8, 2022
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Expand Up @@ -10,6 +10,10 @@ In this project, you can enjoy:
- CSPDarkNet-Tiny
- CSPDarkNet-Nano

# Requirements
- Torch >= 1.9.1

# Motivation
As far as I know, it is difficult for many researchers to train YOLOv5 or YOLOX from scratch because they, including me, do not have sufficient computing resources. Therefore, a pre-trained backbone is still important.

In addition, since YOLOv5 and YOLOX are excellent object detectors, their backbones theoretically perform better than imagenet pretrained weights.
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