search

sheng-eatamath / PromptCAL

Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery (CVPR'23)
MIT License
40 stars 7 forks source link

About the INKD loss #6

Closed DevinCheung closed 1 year ago

DevinCheung commented 1 year ago

Hi~ I noticed for the INKD loss in contrastive_training_1.py, the 'imagenet' dataset is used as a fixed auxiliary dataset (Line 602). I am wondering if this means only for the experiment on imagenet, this INKD loss is used, or for all experiments on every dataset, imagenet is always used as auxiliary dataset? The latter does not make sense (maybe my understanding is wrong). Thanks!

sheng-eatamath commented 1 year ago

Please refer to the similar issue.