CASIA-IVA-Lab / FiLoLinks
Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024).
☆71Updated last year
Alternatives and similar repositories for FiLo
Users that are interested in FiLo are comparing it to the libraries listed below
Sorting:
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆90Updated 2 months ago
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆125Updated 5 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆247Updated last month
- ☆52Updated last year
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆160Updated 11 months ago
- Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Promp…☆186Updated last month
- Accurate reimplementation of WinCLIP (pytorch version)☆118Updated 8 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆68Updated 10 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆94Updated 4 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆47Updated 4 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆38Updated last year
- [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection☆50Updated 2 months ago
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆138Updated 3 months ago
- GeneralAD☆55Updated 8 months ago
- (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"☆31Updated 2 months ago
- ☆33Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆38Updated 4 months ago
- [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models☆42Updated 3 months ago
- ☆54Updated last year
- ☆31Updated 6 months ago
- The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]☆154Updated 3 weeks ago
- [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…☆61Updated 3 weeks ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆89Updated 9 months ago
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆56Updated last month
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 5 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆177Updated 5 months ago
- Official implementation of PointAD (NeurIPS 2024)☆60Updated 3 months ago
- official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"☆45Updated 2 months ago
- [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…☆46Updated 9 months ago