MaskFormer family of models and hyperparams
Hello, I was wondering if people typically play with some of the hyperparameters (those who do not affect the number of params of the model) when using pretrained models of MaskFormer or its family of models (Mask2Former)? For example, keeping the samebackbone_configparams, but playing with somedecoder_configparams, or things such as thedice_weight,cross_entropy_weightandmask_weight?