zizhaozhang / tandemnet Goto Github PK
View Code? Open in Web Editor NEWTandemNet implementation for the MICCAI 2017 Oral paper
Home Page: https://arxiv.org/pdf/1708.03070.pdf
License: MIT License
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puzzles about this fancy paper
- In the paper you mentioned the model can generate both image and text attention, with or without text input. So if input is only image without text, did you mean you can generate text report with text attention??
- In this t-SNE visualization(Fig. 4),
image
what does "w/o text" and "w/ text" mean? w/o or w/ in training stage or in testing stage? (your work seems more fancy if it means training stage, since training with text and input without text seems more fancy, and input text seems unreasonable...) - If testing without text, what difference is the testing model with the training model(which is with text input)?
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