A PyTorch Library for Meta-learning Research

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

AutoDL平台服务器适配梯子， 使用 Clash 作为代理工具

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

Implementation of the Coupled Laplacian from CVPR2024 paper: Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation

Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.

[PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection

[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

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)。

Tesseract Open Source OCR Engine (main repository)

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

ICRA2024 Paper List

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

[CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

[NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

Official Anomaly-ShapeNet

Official Implementation of "SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection" from CVPRW 2024

Looking 3D: Anomaly Detection with 2D-3D Alignment (CVPR24)

Awesome papers on 3D anomaly detection.

Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection as a project work in Machine Learning for 3D Geometry

This repository is the official implementation of Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation.