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Published 20 hours ago • verified publisher icon jnhwkim
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Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

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Does this inconsistency in input dimensions have any impact on the forward operation and the results?

Hello, for datasets like KolektorSDD and KolektorSDD2, the input dimension before entering the model after preprocessing is (704, 256), while for datasets like MVTecAD and mSTC, the input dimension is...

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Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

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