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Pose Estimation

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평가표: 31
보존된 평가 기록: 235

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.

A common benchmark for this task is MPII Human Pose

<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/MandyMo/pytorch_HMR

Stacked Hourglass Networks for Human Pose Estimation

https://github.com/ManifoldFR/recvis-project

RMPE: Regional Multi-person Pose Estimation

https://github.com/MarkPrecursor/SRCNN-keras

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/Marshajennifer/Light-weight-Network-for-Human-Pose-Estimation

Attention-Enhanced Lightweight Hourglass Network for Human Pose Estimation

https://github.com/Mary-xl/HRnet_Kaggle_iNat2019_FGVC

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/MatteoT90/WibergianLearning

Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture

https://github.com/MatthewHowe/WIBAM

Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data

https://github.com/MattyChoi/PoseMachines

DeepPose: Human Pose Estimation via Deep Neural Networks

https://github.com/MaximKuklin/3D_Object_Detection_Diploma

Objects as Points

https://github.com/MayankGupta73/Workout-Evaluation-tf-openpose

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/MegEngine/Models/tree/master/official/vision/keypoints

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/MenghaoGuo/Awesome-Vision-Attentions

Visual Attention Network

https://github.com/Mephisto405/Learning-Loss-for-Active-Learning

Learning Loss for Active Learning

https://github.com/MichaelKonobeev/neuralode-rl

Neural Ordinary Differential Equations

https://github.com/Microsoft/singleshotpose

BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

https://github.com/MilesCranmer/lagrangian_nns

Neural Ordinary Differential Equations

https://github.com/Mind23-2/MindCode-101/tree/main/HRNetW48_cls

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/Mind23-2/MindCode-101/tree/main/Non_local

Non-local Neural Networks

https://github.com/Mind23-2/MindCode-101/tree/main/lite-hrnet

Lite-HRNet: A Lightweight High-Resolution Network

https://github.com/Mind23-2/MindCode-15

Objects as Points

https://github.com/Mind23-2/MindCode-173

SPP-Net: Deep Absolute Pose Regression with Synthetic Views

https://github.com/Mind23-2/MindCode-28

Objects as Points

https://github.com/Mind23-2/MindCode-29

Objects as Points

https://github.com/Mind23-2/MindCode-3/tree/main/HMR

LiDAR-HMR: 3D Human Mesh Recovery from LiDAR

https://github.com/Mind23-2/MindCode-3/tree/main/HRNetW48_cls

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/Mind23-2/MindCode-3/tree/main/HRNetW48_seg

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/Mind23-2/MindCode-3/tree/main/I3D

Non-local Neural Networks

https://github.com/Mind23-2/MindCode-3/tree/main/lite-hrnet

Lite-HRNet: A Lightweight High-Resolution Network

https://github.com/Mind23-2/MindCode-4/tree/main/hrnet

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/Mind23-2/MindCode-5/tree/main/PAMTRI

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

https://github.com/Mind23-2/MindCode-5/tree/main/PoseNet

Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation

https://github.com/Mind23-2/MindCode-5/tree/main/rbpn

Recurrent Back-Projection Network for Video Super-Resolution

https://github.com/Mind23-2/MindCode-77

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/Mind23-2/MindCode-88/tree/main/simple_pose

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

https://github.com/MindCode-4/code-1/tree/main/van

Visual Attention Network

https://github.com/MindCode-4/code-1/tree/main/vit_hybrid

FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

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