الرئيسية الأخبار الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Anomaly Detection On Fashion Mnist

المقاييس

ROC AUC

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	ROC AUC	Paper Title	Repository
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	-
IGD (scratch)	92.01	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
GAN based Anomaly Detection in Imbalance Problems	98.6	GAN-based Anomaly Detection in Imbalance Problems	-
Shell-based Anomaly (supervised)	92.1	Shell Theory: A Statistical Model of Reality
IGD (pre-trained ImageNet)	93.57	Deep One-Class Classification via Interpolated Gaussian Descriptor
PANDA-OE	91.8	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Reverse Distillation	95.0	Anomaly Detection via Reverse Distillation from One-Class Embedding
PANDA	95.6	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
IGD (pre-trained SSL)	94.41	Deep One-Class Classification via Interpolated Gaussian Descriptor
DASVDD	92.6	DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection

0 of 12 row(s) selected.

Anomaly Detection On Fashion Mnist | SOTA | HyperAI