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Detection-free-MICCAI2023

Welcome to the repository for our MICCAI 2023 paper titled "XXX". In this repository, you will find the necessary resources, including code, pre-trained models for our detection-free method.

Image1 Image2 Image3

After submitting our paper, we continued to conduct larger-scale experiments (for 10000-level samples) and achieved even better results. The link to the updated pre-trained model checkpoint can be found below:

[Model Checkpoint for Transformer](链接:https://pan.baidu.com/s/1dIqM4qyJEA4EzZVNjsDFpA 提取码:mn46)

[Model Checkpoint for ResNet](链接:https://pan.baidu.com/s/12dAiemPcoDe-dWegQ--Rfg 提取码:wfrf)

We hope that our work can contribute to the field and encourage further research in detection-free methods. Please feel free to explore our repository and use our resources for your own research. If you have any questions or issues or if you would like to have collaboration with our large amount of data, don't hesitate to contact us at 1290646445@qq.com or caoms@shanghaitech.edu.cn

Happy researching!

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