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ByChelsea avatar ByChelsea commented on August 15, 2024 1

Since our method is designed for zero-shot applications, you can attempt testing it on your dataset by simply changing the text prompt. However, due to the significant disparity between medical tasks and industrial anomaly detection, direct testing may not yield satisfactory results. Therefore, you can also consider retraining our method by generating synthetic anomalies (e.g. DRAEM) to better align with your specific application.

The above is just my suggestion. Since I'm not specialized in medical tasks, my ideas may not be entirely suitable. Please take them as a reference. :)

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ByChelsea avatar ByChelsea commented on August 15, 2024

Can you please provide more information about the new dataset (if possible)? Is it similar to datasets like MVTec-AD and VisA, or more like ImageNet and CIFAR-10? I might need more information to assess this.

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liyiyue2021 avatar liyiyue2021 commented on August 15, 2024

This is a medical dataset (images of brain lesions) that has been used for anomaly detection tasks before, but without the information on masks for the abnormal regions.

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liyiyue2021 avatar liyiyue2021 commented on August 15, 2024

The training process is only normal images, testing is normal and abnormal images

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liyiyue2021 avatar liyiyue2021 commented on August 15, 2024

Thank you so much for your patient explanation and response. I have one more small request: could you please share the manual download link for the CLIP model ( ViT-L-14-336)?

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ByChelsea avatar ByChelsea commented on August 15, 2024

Sure! You can find all the links you need here.

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liyiyue2021 avatar liyiyue2021 commented on August 15, 2024

Thanks so much.

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