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[ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning

Official PyTorch implementation for ECCV 2024 paper:

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
Min-Yeong Park*, Jaeho Lee*, and Gyeong-Moon Park†

arXiv

Environment

  • Python 3.8.x
  • PyTorch 1.12.1
  • Torchvision 0.13.1
  • NVIDIA GeForce RTX 3090
  • CUDA 11.3

Getting Started

Environment

git clone [email protected]/KHU-AGI/VIL.git
cd VIL
conda create -n VIL python==3.8
conda activate VIL
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113
pip install -r requirements.txt

Run ICON on VIL with iDigits dataset

python main.py --dataset iDigits --num_tasks 5 --seed 42 --versatile_inc --batch-size 24 --IC --thre 0.0 --beta 0.01 --use_cast_loss --k 2 --d_threshold