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SOTA
異常検出
Anomaly Detection On Fashion Mnist
Anomaly Detection On Fashion Mnist
評価指標
ROC AUC
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
ROC AUC
Paper Title
Repository
GAN based Anomaly Detection in Imbalance Problems
98.6
GAN-based Anomaly Detection in Imbalance Problems
-
PANDA
95.6
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Reverse Distillation
95.0
Anomaly Detection via Reverse Distillation from One-Class Embedding
IGD (pre-trained SSL)
94.41
Deep One-Class Classification via Interpolated Gaussian Descriptor
IGD (pre-trained ImageNet)
93.57
Deep One-Class Classification via Interpolated Gaussian Descriptor
Self-Supervised One-class SVM, RBF kernel
92.8
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
DASVDD
92.6
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection
Shell-based Anomaly (supervised)
92.1
Shell Theory: A Statistical Model of Reality
-
IGD (scratch)
92.01
Deep One-Class Classification via Interpolated Gaussian Descriptor
PANDA-OE
91.8
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Self-Supervised DeepSVDD
84.8
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
P-KDGAN
0.9293
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
-
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