JasonKyng / NAGLLinks
Normal-Abnormal Guided Generalist Anomaly Detection (NeurIPS 2025)
☆70Updated 2 months ago
Alternatives and similar repositories for NAGL
Users that are interested in NAGL are comparing it to the libraries listed below
Sorting:
- [IEEE-TIP R2]Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection☆15Updated 4 months ago
- Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)☆36Updated 5 months ago
- [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".☆35Updated 8 months ago
- ☆26Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆201Updated 10 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆83Updated 3 months ago
- Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"☆33Updated 8 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆56Updated 9 months ago
- Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties(CVPR'25)☆77Updated 10 months ago
- Official implementation of TailedCore(CVPR25)☆25Updated 7 months ago
- ☆38Updated 11 months ago
- This is an official implementation of “A Masked Reverse Knowledge Distillation Method Incorporating Global and Local Information for Imag…☆49Updated last month
- This is an official implementation of “ Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection” (…☆58Updated last month
- Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".☆36Updated last year
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆22Updated 7 months ago
- Official implementation of PointAD (NeurIPS 2024)☆73Updated 7 months ago
- The official implementation of the paper DADF for industrial VAD☆12Updated 2 years ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆102Updated 7 months ago
- ☆74Updated 6 months ago
- ☆29Updated last year
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆61Updated 7 months ago
- [TASE 2024] AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization☆28Updated last month
- Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"☆14Updated 2 years ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆138Updated 4 months ago
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆55Updated 5 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆45Updated 9 months ago
- The official repository of Continuous Memory Representation for Anomaly Detection☆33Updated last year
- This is the official repository for our recent paper "Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Mo…☆128Updated 8 months ago
- ☆20Updated last year
- This repository is the official implementation of Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation.☆24Updated 5 months ago