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HUANGLIZI / LViT

[IEEE Transactions on Medical Imaging/TMI] This repo is the official implementation of "LViT: Language meets Vision Transformer in Medical Image Segmentation"
MIT License
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request to release the EPI code part #23

Closed webzerg closed 1 year ago

webzerg commented 1 year ago

Can you release the EPI code part now? This is a core part of the paper, we appreciate you can release it so we can reproduce the result. Thanks.

HUANGLIZI commented 1 year ago

You can utilize the Exponential Pseudo-label Iteration mechanism (EPI) to generate the Pseudo-label. And you need to train a prototype model using the labeled data to generate the Pseudo-label for the unlabeled data. Then you can use the pseudo-label and the GT to train using all data. For the LV Loss, you can refer to the Fig. 3 to design the Contrastive label.