HyperAI超神经

Anomaly Detection On Lost And Found

评估指标

AP

FPR

评测结果

各个模型在此基准测试上的表现结果

			Paper Title
Mask2Anomaly	86.59	5.75	Unmasking Anomalies in Road-Scene Segmentation
PEBAL	78.29	0.81	Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
SynBoost	70.43	4.89	Pixel-wise Anomaly Detection in Complex Driving Scenes
SML	25.89	44.48	Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation

0 of 4 row(s) selected.

HyperAI超神经

Anomaly Detection On Lost And Found

评估指标

AP

FPR

评测结果

各个模型在此基准测试上的表现结果

			Paper Title
Mask2Anomaly	86.59	5.75	Unmasking Anomalies in Road-Scene Segmentation
PEBAL	78.29	0.81	Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
SynBoost	70.43	4.89	Pixel-wise Anomaly Detection in Complex Driving Scenes
SML	25.89	44.48	Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation

0 of 4 row(s) selected.

Anomaly Detection On Lost And Found | SOTA | HyperAI超神经