OpenCodePapers

anomaly-detection-on-one-class-cifar-10

Anomaly Detection
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PaperCodeAUROCModelNameReleaseDate
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images✓ Link99.6CLIP (OE)2022-05-23
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features✓ Link99.3GeneralAD2024-07-17
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection✓ Link99.1Fake It Till You Make It2022-05-28
When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection99.1BLISS2024-07-24
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation✓ Link98.9PANDA-OE2020-10-12
Mean-Shifted Contrastive Loss for Anomaly Detection✓ Link98.6Mean-Shifted Contrastive Loss2021-06-07
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images✓ Link98.5CLIP (zero shot)2022-05-23
Anomaly Detection Requires Better Representations✓ Link98.4DINO-FT2022-10-19
Transformaly -- Two (Feature Spaces) Are Better Than One✓ Link98.3Transformaly2021-12-08
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection✓ Link97.0CAP2021-12-05
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation✓ Link96.2PANDA2020-10-12
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances✓ Link94.3CSI2020-07-16
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework92.6DUIAD2020-12-09
Deep Nearest Neighbor Anomaly Detection92.5DN22020-02-24
Learning and Evaluating Representations for Deep One-class Classification✓ Link92.5DisAug CLR2020-11-04
Explainable Deep One-Class Classification✓ Link92FCDD2020-07-03
Deep One-Class Classification via Interpolated Gaussian Descriptor✓ Link91.25IGD (pre-trained SSL)2021-01-25
GAN-based Anomaly Detection in Imbalance Problems90.6GAN based Anomaly Detection in Imbalance Problems2020-08-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty✓ Link90.1SSOOD2019-06-28
SSD: A Unified Framework for Self-Supervised Outlier Detection✓ Link90.0SSD2021-03-22
Unsupervised Two-Stage Anomaly Detection88.4UTAD2021-03-22
Classification-Based Anomaly Detection for General Data✓ Link88.2GOAD2020-05-05
Attribute Restoration Framework for Anomaly Detection✓ Link86.6ARNET2019-11-25
Anomaly Detection via Reverse Distillation from One-Class Embedding✓ Link86.5Reverse Distillation2022-01-26
Deep Anomaly Detection Using Geometric Transformations✓ Link86ADT2018-05-28
Deep One-Class Classification via Interpolated Gaussian Descriptor✓ Link83.68IGD (pre-trained ImageNet)2021-01-25
ESAD: End-to-end Deep Semi-supervised Anomaly Detection83.3ESAD2020-12-09
Deep One-Class Classification via Interpolated Gaussian Descriptor✓ Link74.33IGD (scratch)2021-01-25
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection73.05P-KDGAN2020-07-14
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection✓ Link67.1OLED2021-03-27
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations66.83OCGAN2019-03-20
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows✓ Link66.7FastFlow2021-11-15
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection✓ Link66.5DASVDD2021-06-09
Deep One-Class Classification✓ Link65.7Deep SVDD2018-07-01
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation✓ Link64.8Self-Supervised DeepSVDD2020-10-12
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation✓ Link64.7Self-Supervised One-class SVM, RBF kernel2020-10-12