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In the paper and supplementary material, there is discussion about training of smaller model where coarse features are at 1/16 and fine at 1/4 resolution. The config files of the repository do not specify block-dims for resnet fpn for this smaller model. What changes should I make to src/config/default.py for training the smaller model?
The text was updated successfully, but these errors were encountered:
In the paper and supplementary material, there is discussion about training of smaller model where coarse features are at 1/16 and fine at 1/4 resolution. The config files of the repository do not specify block-dims for resnet fpn for this smaller model. What changes should I make to src/config/default.py for training the smaller model?
The text was updated successfully, but these errors were encountered: