Research graph
References from Relation Prototype Re-Scoring for CLIP-Based Logical Anomaly Detection and Localization. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep Learning for Anomaly Detection: A Review
10.1145/3439950 · 2021 · External reference
Deep Industrial Image Anomaly Detection: A Survey
10.1007/s11633-023-1459-z · 2024 · External reference
The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
10.1007/s11263-020-01400-4 · 2021 · External reference
Unresolved reference
External reference
10.1007/978-3-030-68799-1_35
10.1007/978-3-030-68799-1_35 · External reference
10.1109/cvpr52688.2022.01392
10.1109/cvpr52688.2022.01392 · External reference
10.1109/iccv48922.2021.00822
10.1109/iccv48922.2021.00822 · External reference
10.1109/cvpr52688.2022.00951
10.1109/cvpr52688.2022.00951 · External reference
10.1109/wacv48630.2021.00195
10.1109/wacv48630.2021.00195 · External reference
10.1109/wacv51458.2022.00188
10.1109/wacv51458.2022.00188 · External reference
A Unified Model for Multi-Class Anomaly Detection
10.52202/068431-0330 · 2022 · External reference
10.1109/cvpr52729.2023.01954
10.1109/cvpr52729.2023.01954 · External reference
10.1109/wacv57701.2024.00020
10.1109/wacv57701.2024.00020 · External reference
Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization
10.1007/s11263-022-01578-9 · 2022 · External reference
Learning Transferable Visual Models From Natural Language Supervision
2021 · External reference
10.1109/cvpr52729.2023.01878
10.1109/cvpr52729.2023.01878 · External reference
Unresolved reference
External reference
10.1109/cvpr52734.2025.00447
10.1109/cvpr52734.2025.00447 · External reference
10.1109/wacv57701.2024.00113
10.1109/wacv57701.2024.00113 · External reference
Unresolved reference
External reference
10.1145/3664647.3680685
10.1145/3664647.3680685 · External reference
10.1109/iccv51701.2025.02065
10.1109/iccv51701.2025.02065 · External reference
10.1109/iccv51701.2025.01971
10.1109/iccv51701.2025.01971 · External reference
SA-PatchCore: Anomaly Detection in Dataset With Co-Occurrence Relationships Using Self-Attention
10.1109/access.2023.3234745 · 2023 · External reference
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
10.1609/aaai.v38i8.28703 · 2024 · External reference
Component-Aware Anomaly Detection Framework for Adjustable and Logical Industrial Visual Inspection
10.1016/j.aei.2023.102161 · 2023 · External reference
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
10.1016/j.knosys.2025.113176 · 2025 · External reference
10.18653/v1/2025.acl-industry.29
10.18653/v1/2025.acl-industry.29 · External reference
10.1109/iccv51701.2025.02028
10.1109/iccv51701.2025.02028 · External reference
10.1109/wacv61042.2026.00376
10.1109/wacv61042.2026.00376 · External reference
10.1109/icra55743.2025.11127296
10.1109/icra55743.2025.11127296 · External reference
10.1007/978-3-031-20056-4_23
10.1007/978-3-031-20056-4_23 · External reference
10.1007/978-3-030-69544-6_23
10.1007/978-3-030-69544-6_23 · External reference
10.1109/cvpr46437.2021.00954
10.1109/cvpr46437.2021.00954 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
10.1609/aaai.v38i3.27963 · 2024 · External reference
10.1109/iccv51070.2023.00371
10.1109/iccv51070.2023.00371 · External reference
10.1109/iccv48922.2021.00951
10.1109/iccv48922.2021.00951 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.52202/075280-1303
10.52202/075280-1303 · External reference
10.1007/978-3-030-68799-1_35
10.1007/978-3-030-68799-1_35 · ExternalCitation · doi-reference
10.1007/978-3-030-69544-6_23
10.1007/978-3-030-69544-6_23 · ExternalCitation · doi-reference
10.1007/978-3-031-20056-4_23
10.1007/978-3-031-20056-4_23 · ExternalCitation · doi-reference
The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
10.1007/s11263-020-01400-4 · ExternalCitation · doi-reference
Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization
10.1007/s11263-022-01578-9 · ExternalCitation · doi-reference
Deep Industrial Image Anomaly Detection: A Survey
10.1007/s11633-023-1459-z · ExternalCitation · doi-reference
Component-Aware Anomaly Detection Framework for Adjustable and Logical Industrial Visual Inspection
10.1016/j.aei.2023.102161 · ExternalCitation · doi-reference
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
10.1016/j.knosys.2025.113176 · ExternalCitation · doi-reference
SA-PatchCore: Anomaly Detection in Dataset With Co-Occurrence Relationships Using Self-Attention
10.1109/access.2023.3234745 · ExternalCitation · doi-reference
10.1109/cvpr46437.2021.00954
10.1109/cvpr46437.2021.00954 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.00951
10.1109/cvpr52688.2022.00951 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.01392
10.1109/cvpr52688.2022.01392 · ExternalCitation · doi-reference
10.1109/cvpr52729.2023.01878
10.1109/cvpr52729.2023.01878 · ExternalCitation · doi-reference
10.1109/cvpr52729.2023.01954
10.1109/cvpr52729.2023.01954 · ExternalCitation · doi-reference
10.1109/cvpr52734.2025.00447
10.1109/cvpr52734.2025.00447 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00822
10.1109/iccv48922.2021.00822 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00951
10.1109/iccv48922.2021.00951 · ExternalCitation · doi-reference
10.1109/iccv51070.2023.00371
10.1109/iccv51070.2023.00371 · ExternalCitation · doi-reference
10.1109/iccv51701.2025.01971
10.1109/iccv51701.2025.01971 · ExternalCitation · doi-reference
10.1109/iccv51701.2025.02028
10.1109/iccv51701.2025.02028 · ExternalCitation · doi-reference
10.1109/iccv51701.2025.02065
10.1109/iccv51701.2025.02065 · ExternalCitation · doi-reference
10.1109/icra55743.2025.11127296
10.1109/icra55743.2025.11127296 · ExternalCitation · doi-reference
10.1109/wacv48630.2021.00195
10.1109/wacv48630.2021.00195 · ExternalCitation · doi-reference
10.1109/wacv51458.2022.00188
10.1109/wacv51458.2022.00188 · ExternalCitation · doi-reference
10.1109/wacv57701.2024.00020
10.1109/wacv57701.2024.00020 · ExternalCitation · doi-reference
10.1109/wacv57701.2024.00113
10.1109/wacv57701.2024.00113 · ExternalCitation · doi-reference
10.1109/wacv61042.2026.00376
10.1109/wacv61042.2026.00376 · ExternalCitation · doi-reference
Deep Learning for Anomaly Detection: A Review
10.1145/3439950 · ExternalCitation · doi-reference
10.1145/3664647.3680685
10.1145/3664647.3680685 · ExternalCitation · doi-reference
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
10.1609/aaai.v38i3.27963 · ExternalCitation · doi-reference
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
10.1609/aaai.v38i8.28703 · ExternalCitation · doi-reference
10.18653/v1/2025.acl-industry.29
10.18653/v1/2025.acl-industry.29 · ExternalCitation · doi-reference
A Unified Model for Multi-Class Anomaly Detection
10.52202/068431-0330 · ExternalCitation · doi-reference
10.52202/075280-1303
10.52202/075280-1303 · ExternalCitation · doi-reference
