Comments (2)
I have no idea what data leakage means. We use few-shot abnormal samples (~2) for each anomaly type and increase the diversity of generated abnormal samples through random augmentation.
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Data leakage, when the data you are using to train a machine learning algorithm happens to have the information you are trying to predict. Does the random enhancement you are using contain anomaly areas in the test set? This may result in high training results
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Related Issues (20)
- How to use train.sh HOT 7
- FileNotFoundError: [Errno 2] No such file or directory: 'fg_mask/bottle/125.png' HOT 4
- FileNotFoundError: [Errno 2] No such file or directory: 'output/bgad_fas_btad/weights/mvtec_tf_efficientnet_b6_conditional_flow_model_bottle.pt' HOT 2
- Can this network be converted into onnx HOT 2
- 关于img_threshold和pixel_threshold
- 阅读论文有几个疑问? HOT 2
- Foreground Mask问题咨询 HOT 2
- Question about BG-SPP loss HOT 1
- Generate an anomaly graph HOT 1
- How to apply about My Customdataset? HOT 1
- what are log_theta and division by dim doing HOT 2
- 训练过程中,PIX_AUPRO 为-100 HOT 1
- Could you please release the checkpoint? Thanks! HOT 1
- How can we determine the parameters pos_beta and normalizer
- Questions about hyperparameter Normalizer and Beta. HOT 1
- how to generate foreground masks
- custom dataset异常区域定位问题 HOT 1
- could you please offer us your code how to generate figure5?
- custom my own dataset 如何制造我自己的数据集? HOT 2
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