README.md
June 17, 2025 ยท View on GitHub
Continual Generalized Category Discovery:
Learning and Forgetting from a Bayesian Perspective
University College London
University of Southampton
Usage
Installation
conda create -n vbcgcd python=3.12.2
conda activate vbcgcd
pip install -r requirements.txt
mkdir datasets
Prepare Datasets
python feature_extractor/dino-cifar100.py --finetuned --output_dir datasets/cifar100
Training
python main.py --base 50 --increment 10 --pretrained_model_name dino-vitb16-sl --data_dir datasets/cifar100 --trail_name mix_increment_mngmm_dinovb16_sl_cifar_100
Citation
If you find our work useful, please cite our related paper:
# ICML 2025
@inproceedings{dai2025vbcgcd,
title={Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective},
author={Dai, Hao and Chauhan, Jagmohan},
booktitle={Proceedings of the 42nd International Conference on Machine Learning (ICML)},
year={2025}
}