☆44Oct 25, 2023Updated 2 years ago
Alternatives and similar repositories for FastRecon
Users that are interested in FastRecon are comparing it to the libraries listed below
Sorting:
- Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"☆63Jul 25, 2023Updated 2 years ago
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Nov 10, 2024Updated last year
- ☆14Jan 12, 2026Updated last month
- ☆37Jun 17, 2024Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆84Oct 18, 2025Updated 4 months ago
- (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection☆160Dec 28, 2023Updated 2 years ago
- Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection☆29Aug 15, 2024Updated last year
- ☆21Dec 8, 2024Updated last year
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆203Mar 13, 2025Updated 11 months ago
- [ECCV2022 Oral] Registration based Few-Shot Anomaly Detection☆316Sep 7, 2022Updated 3 years ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆57Apr 22, 2025Updated 10 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆134Dec 8, 2024Updated last year
- [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …☆328Jan 29, 2025Updated last year
- Official repo of M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning☆27Mar 23, 2025Updated 11 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆112Aug 6, 2024Updated last year
- Frequency-aware Image Restoration for Industrial Visual anomaly detection☆42Aug 23, 2025Updated 6 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆82Mar 5, 2025Updated 11 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆201Jul 17, 2025Updated 7 months ago
- ☆202Jun 30, 2024Updated last year
- [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD☆262Aug 1, 2025Updated 7 months ago
- ICCV 2025 Code for "Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection"☆11Nov 26, 2025Updated 3 months ago
- [TPAMI] DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection☆213Jan 31, 2024Updated 2 years ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆103Jun 4, 2025Updated 8 months ago
- [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".☆399Mar 16, 2024Updated last year
- ☆11Mar 25, 2021Updated 4 years ago
- ☆12Mar 2, 2024Updated last year
- Technical Challenge Repository for Visual Anomaly Detection Workshop (VAND) at CVPR☆13Jul 21, 2025Updated 7 months ago
- Few-shot segmentation for industrail defect detection☆27Mar 26, 2023Updated 2 years ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆67Jul 17, 2025Updated 7 months ago
- Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"☆85Jul 13, 2024Updated last year
- Official implementation for AnomalyCLIP (ICLR 2024)☆565Jul 8, 2025Updated 7 months ago
- Learning Diffusion Models for Multi-View Anomaly Detection [ECCV2024]☆15Oct 16, 2024Updated last year
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆47Oct 31, 2024Updated last year
- ☆85May 16, 2024Updated last year
- ☆32Nov 1, 2023Updated 2 years ago
- REB：Reducing Biases in Representation for Industrial Anomaly Detection☆26Jan 22, 2024Updated 2 years ago
- ☆16Mar 14, 2024Updated last year
- Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"☆14Aug 13, 2023Updated 2 years ago
- GeneralAD☆56Dec 17, 2024Updated last year