Comments (1)
Please first note that you need to revert the normalization for the reconstructed image before visualization if you haven't done so.
In addition, it is expected that the unmasked portion will change after reconstruction, as suggested by the code for visualization of MAE.
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Related Issues (12)
- How to run this slurm code HOT 2
- Did you try pretraining swin-tiny?
- about mask in relative bias table
- About Optimal Grouping with Dynamic Programming
- About different random masks for each sample in a batch HOT 3
- How can l install the 'mc' modules which imported in the 'base_dataset.py' ? HOT 1
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- How to run code on multiple machines? HOT 1
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