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

العربية

Anomaly Classification On Goodsad

المقاييس

AUPR

AUROC

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	AUPR	AUROC	Paper Title	Repository
PatchCore-100%	86.1	85.5	Towards Total Recall in Industrial Anomaly Detection	-
PatchCore-1%	83.3	81.4	Towards Total Recall in Industrial Anomaly Detection	-
SimpleNet	78.7	75.3	SimpleNet: A Simple Network for Image Anomaly Detection and Localization	-
RD4AD	68.2	66.5	Anomaly Detection via Reverse Distillation from One-Class Embedding	-
DRAEM	71	65.9	DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection	-
SPADE	68.7	64.1	Sub-Image Anomaly Detection with Deep Pyramid Correspondences	-
NSA	71.8	67.3	Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization	-
CFLOW-AD	75.3	71.2	CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows	-
MiniMaxAD-fr	-	86.1	MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection	-
CutPaste	62.8	60.2	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	-
f-AnoGAN	66.6	62.8	f-AnoGAN: Fast Unsupervised Anomaly Detection with Generative Adversarial Networks

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Anomaly Classification On Goodsad | SOTA | HyperAI