Potential enhancements for DropBlock
#188
Labels
enhancement
New feature or request
layers
Related to the Layers module - generic layers for reuse by models
DropBlock
is a type of regularisation that tries to replace dropout. The original paper describes it as best used with a linear scaling rate across blocks in a model, as has been implemented in #174. However, timm adds several experimental features, including:gamma
calculated (already included in Overhaul of ResNet API #174).DropBlock
rates picked by experimentation to give better results on ResNets - these however extend only to four-stage ResNets i.e. those similar to the models in the original ResNet paper.The text was updated successfully, but these errors were encountered: