mala-lab / InCTRLLinks
Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.
☆188Updated 2 months ago
Alternatives and similar repositories for InCTRL
Users that are interested in InCTRL are comparing it to the libraries listed below
Sorting:
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆171Updated last year
- Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same ze…☆56Updated 2 months ago
- Accurate reimplementation of WinCLIP (pytorch version)☆118Updated 9 months ago
- [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …☆289Updated 7 months ago
- [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…☆100Updated 2 weeks ago
- [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''☆257Updated 2 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆92Updated 3 months ago
- [CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD☆247Updated last month
- [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection☆134Updated 6 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆59Updated 3 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆73Updated last year
- Image anomaly detection benchmark in industrial manufacturing☆145Updated 6 months ago
- [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…☆90Updated 10 months ago
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆189Updated 9 months ago
- ☆57Updated 4 months ago
- ☆53Updated last year
- ☆87Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 6 months ago
- Segmentation-based Anomaly Detector (SegAD)☆59Updated last month
- ☆55Updated 2 years ago
- [TPAMI] DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection☆186Updated last year
- The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP☆148Updated 3 months ago
- Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)☆193Updated 2 years ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆177Updated 6 months ago
- (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection☆147Updated last year
- A method for detecting anomalies consisting of unusual combinations of normal elements using set features☆36Updated 10 months ago
- ☆195Updated last year
- This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…☆110Updated 10 months ago
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆48Updated 4 months ago