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anomaly-detection-on-one-class-imagenet-30

Anomaly Detection
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PaperCodeAUROCModelNameReleaseDate
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images✓ Link99.90BCE-Clip (OE)2022-05-23
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images✓ Link99.88CLIP (Zero Shot)2022-05-23
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images✓ Link97.7Binary Cross Entropy (OE)2022-05-23
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances✓ Link91.6CSI2020-07-16
Explainable Deep One-Class Classification✓ Link91FCDD2020-07-03
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty✓ Link85.7RotNet + Translation + Self-Attention + Resize2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty✓ Link84.8RotNet + Translation + Self-Attention2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty✓ Link81.6RotNet + Self-Attention2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty✓ Link77.9RotNet + Translation2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty✓ Link65.3RotNet2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty✓ Link56.1Supervised (OE)2019-06-28
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