The Past and Present of Human Pose Estimation - Code World

The Past and Present of Human Pose Estimation

News 2023-07-25 23:09:39 views: null

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Origin blog.csdn.net/gzq0723/article/details/131733468

The Past and Present of Human Pose Estimation

OpenCV + mediapipe -> human pose estimation

Human Pose Estimation Short description

Pose Estimation-Stacked Hourglass Networks for Human Pose Estimation

Pose Estimation-Simple Baselines for Human Pose Estimation and Tracking

human_pose_estimation_demo of further study

[Human Pose Estimation] (1) Principle Introduction

Human Pose Estimation in Computer Vision Algorithms

Human key point detection 1: Human pose estimation data set

Pose Estimation-Deep High-Resolution Representation Learning for Human Pose Estimation

Paper: DensePose: Dense Human Pose Estimation In The Wild reading notes

Human Pose Estimation---High-quality learning resources (reproduced)

[Paper reading notes] Cascade Feature Aggregation for Human Pose Estimation

[Paper reading notes] Stacked HOurglass Networks for Human Pose Estimation

[Paper reading notes] Simple Baselines for Human Pose Estimation and Tracking

Jetson Nano Creating a Human Pose Estimation Application with NVIDIA DeepStream

Machine Learning Notes - Understanding MediaPipe + Combining OpenCV for Human Pose Estimation

Human pose estimation using key point RCNN in PyTorch -- with source code

ACM MM 2023 | Human pose estimation method based on decentralized representation

(Paper Reading 28-33) Human Pose Estimation

3D human pose estimation (tutorial + code)

[Paper reading notes] Multi-Scale Structure-Aware Network for Human Pose Estimation

[Paper reading notes] 3D human pose estimation in video with temporal convolutions and semi-supervised training

[Paper reading notes] AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Aug

[Paper reading notes] UniPose: Unified Human Pose Estimation in Single Images and Videos

《HigherHRNet：Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation》论文笔记

"HRNet: Deep High-Resolution Representation Learning for Human Pose Estimation" paper notes

Paper reading Multi-Scale Structure-Aware Network for Human Pose Estimation

Deep High-Resolution Representation Learning for Human Pose Estimation (CVPR 2019)

Detailed explanation of the key points of the paper: Human Pose Regression with Residual Log-likelihood Estimation (RLE)

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