CVLAB-Unibo / crossmodal-feature-mapping
☆44Updated 8 months ago
Alternatives and similar repositories for crossmodal-feature-mapping:
Users that are interested in crossmodal-feature-mapping are comparing it to the libraries listed below
- Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation☆36Updated last year
- [PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection☆67Updated 6 months ago
- Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]☆39Updated last year
- This repository is the official implementation of Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation.☆15Updated 5 months ago
- A Dataset and Benchmark for Multi-Sensor Anomaly Detection☆23Updated last month
- ☆13Updated 8 months ago
- Official implementation of PointAD (NeurIPS 2024)☆41Updated last month
- Official Anomaly-ShapeNet☆42Updated last month
- [NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and b…☆115Updated 11 months ago
- ☆70Updated 3 months ago
- ☆167Updated last year
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆66Updated last year
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆28Updated last month
- Accurate reimplementation of WinCLIP (pytorch version)☆83Updated 2 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆73Updated 3 weeks ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆22Updated 9 months ago
- Source code for Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection (ECCV 2024)☆12Updated 7 months ago
- Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…☆52Updated 6 months ago
- This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehr…☆74Updated last year
- The official repository of Continuous Memory Representation for Anomaly Detection☆27Updated 2 months ago
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆30Updated 11 months ago
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆48Updated 3 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆144Updated 4 months ago
- [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt☆34Updated 2 months ago
- Awesome-3D/Multimodal-Anomaly-Detection-and-Localization/Segmentation/3D-KD/3D-knowledge-distillation☆75Updated last year
- Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"☆15Updated 9 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆66Updated 4 months ago
- Evaluation Tool for Anomaly Detection Research☆14Updated 9 months ago
- REB:Reducing Biases in Representation for Industrial Anomaly Detection☆24Updated last year