Stars
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.
YouTube推荐系统深度学习召回排序算法, Deep Neural Networks for YouTube Recommendations. YouTubeDNN.
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
[WACV23] A strong baseline for body part-based person re-identification
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
「推荐算法学习+面试指南」一份涵盖大部分推荐算法工程师所需要掌握的核心知识。【目前更新就业面试的八股文询问内容】
Torchreid: Deep learning person re-identification in PyTorch.
Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
An official implementation of "Video-based Person Re-identification with Spatial and Temporal Memory Networks" (ICCV 2021) in PyTorch.
A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximu…
On the Unreasonable Effectiveness of Centroids in Image Retrieval
Unsupervised Pre-training for Person Re-identification (LUPerson)
This is the pytorch implementation and dataset of the ICCV2019 paper "Pose-Guided Feature Alignment for Occluded Person Re-identification"
[CVPR2020] High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
A toolbox for skeleton-based action recognition.
Curated list of project-based tutorials
Add bisenetv2. My implementation of BiSeNet
Fourier Domain Adaptation for Semantic Segmentation
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
deep learning for image processing including classification and object-detection etc.
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)