Continual Contrastive Anomaly Detection Under Natural Data Distribution Shifts paper

This is a conference paper published on CACRE 2023.

To reproduce CCAD, you should

1. Download the Kyoto-2006+ ref Dataset

python ./datasets/download.py

2. Process the Dataset (Refer to Anoshift)

parse the txt files --> one-hot encoding ( refer to parse_kyoto_monthly.py and preprocess_onehot_monthly)

3. Run CCAD

CCAD w/o rehearsal: python CCAD.py --gpu 0 

CCAD w rehearsal: python CCAD.py --gpu 0 --replay 

4. Analyze the Results

python ./eval_results/parse_pkl.py