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View Code? Open in Web Editor NEWCodes for ICCV 2023 paper: SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
License: MIT License
Codes for ICCV 2023 paper: SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
License: MIT License
Hi @GengDavid ,
Currently, I am trying to replicate the results of the SLCA approach. I have a question regarding the ImageNet-R dataset and would appreciate your assistance.
In the paper, it is mentioned that the ImageNet-R dataset contains 200-class images, split into 24,000 and 6,000 images for training and testing, with a similar ratio for each class. However, the dataset appears to be in a single folder without a clear separation into training and validation sets.
I am kindly requesting that you provide the script or method used to split the ImageNet-R dataset into the designated training and validation sets as used in your experiments. Having access to this script or procedure would greatly assist me in replicating the experiments in your work accurately.
Thank you for your time and attention. I look forward to your response.
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