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Why is it that when I use the pre-trained Xception model weights for implicit feature extraction and the ResNet34 model weights for explicit feature extraction, the extracted features cannot be used to calculate cosine similarity? The error indicates that the final output dimension of the Xception model is 12048, while the output dimension of the ResNet34 model is 1512.
The text was updated successfully, but these errors were encountered:
huiyuchen708
changed the title
Feature dimension mismatch
IID: Feature dimension mismatch
Dec 28, 2024
Why is it that when I use the pre-trained Xception model weights for implicit feature extraction and the ResNet34 model weights for explicit feature extraction, the extracted features cannot be used to calculate cosine similarity? The error indicates that the final output dimension of the Xception model is 12048, while the output dimension of the ResNet34 model is 1512.
The text was updated successfully, but these errors were encountered: