Accueil Plateforme Docs Actualités Articles de recherche Tutoriels Ensembles de données Wiki SOTA Modèles LLM Classement GPU Événements

Français

Anomaly Detection On Fishyscapes 1

Métriques

AP

FPR95

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title	Repository
RPL+CoroCL	95.96	0.52	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Mask2Anomaly	95.20	0.82	Unmasking Anomalies in Road-Scene Segmentation
PEBAL	92.38	1.73	Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Synboost	72.59	18.75	Pixel-wise Anomaly Detection in Complex Driving Scenes
DenseHybrid	72.3	5.5	DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
FlowEneDet	67.8	21.58	Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
SML	53.11	19.64	Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Bayesian DeepLab	48.7	15.5	Evaluating Bayesian Deep Learning Methods for Semantic Segmentation

0 of 8 row(s) selected.