Stars
HiAD: A General Framework for High-Resolution Anomaly Detection（通用的高分辨率异常检测框架）
[CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
Official implementations for paper: Anydoor: zero-shot object-level image customization
FastPillars: A Deployment-friendly Pillar-based 3D Detector
中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行。
liu-b-s / YOLOU
Forked from jizhishutong/YOLOUYOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6、YOLOv7、YOLOX、YOLOX-Lite
liu-b-s / yolov7-pytorch
Forked from bubbliiiing/yolov7-pytorch这是一个yolov7的库，可以用于训练自己的数据集。
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
An unofficial implementation of Pytorch version PP-YOLOE,based on Megvii YOLOX training code.
A PyTorch-based library for semi-supervised learning (NeurIPS'21)