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Thanks for the nice work! I have a question regarding fusing multiple images. The paper mentions fusing multiple images sequentially (two at a time.)
But it appears to me that the loss used for training can be easiliy generalized to more than two images and hence achieving multiple-image (more than two images) fusion as one single pass to the DenseNet. Am I right or do I miss something?
Thanks!
The text was updated successfully, but these errors were encountered:
Thanks for the nice work! I have a question regarding fusing multiple images. The paper mentions fusing multiple images sequentially (two at a time.)
But it appears to me that the loss used for training can be easiliy generalized to more than two images and hence achieving multiple-image (more than two images) fusion as one single pass to the DenseNet. Am I right or do I miss something?
Thanks!
The text was updated successfully, but these errors were encountered: