Comments (3)
We conduct zero-shot performance evaluations on datasets other than MVTEC AD using the test set of MVTEC AD dataset. And, we assess the zero-shot performance on the MVTEC AD dataset using the test set of VisA dataset. This aligns with the approach presented in our paper. You can check the script train.sh and test.sh
from anomalyclip.
Thank you very much for your reply. Your explanation convinced me that your ZERO-SHOT approach is different from others' ZERO-SHOT approach. It's a great idea and worth following by others
from anomalyclip.
Thanks for your acknowledgment, I will close this issue.
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Related Issues (20)
- maybe have a bug HOT 4
- SDD details HOT 1
- Test with large dataset HOT 1
- The learnable token embeddings are attached to the first 9 layers of the text encoder for refining the textual space. HOT 2
- How do I use the AnomalyCLIP to train my custom dataset HOT 6
- 你好,作者,感谢代码分享,请问如何使用ISIC数据集训练呢? HOT 2
- Question about the reimplementation of the result of original CLIP HOT 2
- how to test one img?
- 你好,作者,感谢代码分享,请问如何对一张图片进行测试异常呢?
- 作者大大你好,请问zero-shot如何体现呢? HOT 2
- 请问下载的mvtec数据放在那个目录下啊 HOT 4
- 运行问题
- 我在运行tesh.sh请问图像计算auroc需要很久吗?我跑的时候一直卡在那里,图片是都推理完的 HOT 2
- how we can test the model on a new image ? HOT 2
- Unable to reproduce the results HOT 2
- 如何训练自己的模型?
- 作者大大和各位专家,请问如何设置自己的数据集? HOT 2
- ISIC数据集 HOT 11
- Progress stuck at 100% HOT 2
- License? HOT 1
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