BTAD

Overview edit

Variants: BTAD

Associated Benchmarks

This dataset is used in 1 benchmark:

• Anomaly Detection - Metrics: Detection AUROC, Segmentation AUROC, Segmentation AP, Segmentation AUPRO

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• Unlocking the Potential of Reverse Distillation for Anomaly Detection (2024) -
• RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (2024) -
• MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images (2024) -
• Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection (2024) -
• Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval (2023) -
• Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers (2023) -
• ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection (2023) -
• PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow (2023) -
• PNI : Industrial Anomaly Detection using Position and Neighborhood Information (2022) -
• AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection (2022) -
• VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization (2021) -
• Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation (2020) -