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Official Code for IJCV 2024 paper — Globally Correlation-Aware Hard Negative Generation
Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection
(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
We collect papers about "large language models (LLM) for table-related tasks", e.g., using LLM for Table QA task. “表格+LLM”相关论文整理
Official Code for ECCV 2024 paper — One-Shot Diffusion Mimicker for Handwritten Text Generation
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022
[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"
High-Resolution Image Synthesis with Latent Diffusion Models
ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.
[NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
[ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection
Code for "Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection" published in NeurIPS 2023
[ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
[ECCV 2024] Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection
[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".