Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/RealNet

RealNet

Reported on 9 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology9 results

Anomaly DetectiononMPDD
Detection AUROC· uses extra data· 2024-03-09
96.3
best: 99.6 (GLASS)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897
Anomaly DetectiononMPDD
Segmentation AUROC· uses extra data· 2024-03-09
98.2
best: 99.4 (GLASS)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897
Anomaly DetectiononBTAD
Detection AUROC· uses extra data· 2024-03-09
96.1
best: 98.3 (CPR)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897
Anomaly DetectiononBTAD
Segmentation AUROC· uses extra data· 2024-03-09
97.9
best: 99.3 (WeakREST-Block)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897
Anomaly DetectiononMVTec AD
Detection AUROC· 2024-03-09
99.6
best: 99.9 (GLASS)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897
Anomaly DetectiononMVTec AD
Segmentation AUPRO· 2024-03-09
93
best: 98.4 (WeakREST-Block)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897
Anomaly DetectiononMVTec AD
Segmentation AUROC· 2024-03-09
99
best: 99.7 (WeakREST-Block)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897
Anomaly DetectiononVisA
Detection AUROC· uses extra data· 2024-03-09
97.8
best: 99.8 (UniNet)
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897
Anomaly DetectiononVisA
Segmentation AUROC· uses extra data· 2024-03-09
98.8
best: 99.1 (Dinomaly ViT-L (model-unified multi-class))
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection arXiv:2403.05897