lower performance on 2-shot visa-candle with the default setting (e.g., pre-trained model and few-shot prompts)

mala-lab / InCTRL

Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

Apache License 2.0

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lower performance on 2-shot visa-candle with the default setting (e.g., pre-trained model and few-shot prompts) #15

Closed gaobb closed 5 months ago

gaobb commented 5 months ago

For 2-shot candle, I only got AU_ROC=0.8744, AU_PR=0.8715, with the default setting. This is lower than the paper's reported result (0.916±0.006, 0.920±0.008).