CVLAB-Unibo / crossmodal-feature-mappingLinks
☆62Updated 2 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
Sorting:
- Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation☆39Updated last year
- Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties(CVPR'25)☆65Updated 5 months ago
- ☆20Updated last year
- Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]☆48Updated last year
- [PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection☆82Updated 6 months ago
- ☆183Updated 2 years ago
- This repository is the official implementation of Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation.☆18Updated last month
- Official implementation of PointAD (NeurIPS 2024)☆61Updated 3 months ago
- [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.☆177Updated 6 months ago
- Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection☆40Updated 5 months ago
- This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehr…☆80Updated 2 years ago
- [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model☆31Updated last year
- Official Anomaly-ShapeNet☆47Updated 2 months ago
- The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…☆106Updated 4 months ago
- [NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and b…☆136Updated last year
- This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…☆44Updated last month
- CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.☆38Updated last year
- [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…☆70Updated 10 months ago
- (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation☆92Updated 3 months ago
- [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization☆79Updated 6 months ago
- Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection☆171Updated last year
- Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.☆189Updated 9 months ago
- Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper (VA…☆133Updated 2 years ago
- Accurate reimplementation of WinCLIP (pytorch version)☆118Updated 9 months ago
- [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.☆104Updated last year
- ☆12Updated last year
- The official repository of Continuous Memory Representation for Anomaly Detection☆29Updated 9 months ago
- The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"☆77Updated last year
- 异常/缺陷检测方向，谷歌学术和arxiv论文的相关更新☆35Updated this week
- AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control☆48Updated 4 months ago