Comments (1)
Dear author, I wonder if you got the prototype, did you first use a pretrained model to extract visual and textual features, then concatenate the visual and textual features, cluster 20 clusters with k-means? Normalize before clustering? Use each cluster center as a prototype? Could you please explain it in detail?Thank you very much.
Hi, thanks for your interest. Yes, the details are mentioned in our paper which are the same as you said.
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Related Issues (12)
- Problem on the val/test step HOT 4
- About CheXpert labeler HOT 2
- Some questions about the prototype matrix HOT 2
- iu_xray HOT 1
- Some questions about the DataParallel. HOT 4
- Great work. Have you done any preprocessing on the mimic dataset? HOT 1
- how to train the model to get the result same as the paper? HOT 7
- How to get the init_prototypes.pt and labels_14.pickle? HOT 7
- About Results on IU_Xray dataset HOT 3
- IUXray: train test validation split affecting token/id mappings HOT 5
- MIMIC annotation.json HOT 1
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