HyperAI超神经

Anomaly Detection On Anomaly Detection On 2

评估指标

Network

ROC-AUC

评测结果

各个模型在此基准测试上的表现结果

			Paper Title
GOAD	ResNet-18	92.8	Classification-Based Anomaly Detection for General Data
CSI	ResNet-18	94.7	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
PsudoLabels CLIP ViT	ViT	98.3	Out-of-Distribution Detection Without Class Labels
ROT+Trans	ResNet-18	86.3	Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
DN2 CLIP ViT	ViT	93.2	Deep Nearest Neighbor Anomaly Detection

0 of 5 row(s) selected.

HyperAI超神经

Anomaly Detection On Anomaly Detection On 2

评估指标

Network

ROC-AUC

评测结果

各个模型在此基准测试上的表现结果

			Paper Title
GOAD	ResNet-18	92.8	Classification-Based Anomaly Detection for General Data
CSI	ResNet-18	94.7	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
PsudoLabels CLIP ViT	ViT	98.3	Out-of-Distribution Detection Without Class Labels
ROT+Trans	ResNet-18	86.3	Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
DN2 CLIP ViT	ViT	93.2	Deep Nearest Neighbor Anomaly Detection

0 of 5 row(s) selected.

Anomaly Detection On Anomaly Detection On 2 | SOTA | HyperAI超神经