Official implementation of High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis.

This is an official PyTorch implementation for "MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images" (MuSc ICLR2024).

Magnificent app which corrects your previous console command.

Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

[ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[CVPR2024 Highlight] Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images

医学影像数据集列表 『An Index for Medical Imaging Datasets』

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

[ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''

Official implementation for AnomalyCLIP (ICLR 2024)

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

accepted by MICCAI2024

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

示例工程，利用GAN生成手写数字

Anomaly Detection via Reverse Distillation from One-Class Embedding

The Comprehensive Kerbal Archive Network

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

Curated list of project-based tutorials

重庆邮电大学开源镜像站

代码 -《深度学习之PyTorch物体检测实战》

pytorch实现的Faster-RCNN模型，参考了许多人写的代码积累起来的。