Papers with Code 아카이브

2D Pose Estimation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

9

보존된 평가 기록

21

코드

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

https://github.com/CHUNYUWANG/imu-human-pose-pytorch

공식 코드

Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach

https://github.com/CMU-Perceptual-Computing-Lab/openpose

공식 코드

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

https://github.com/DavHoffmann/LearningToTrainWithSyntheticHumans

공식 코드

Learning to Train with Synthetic Humans

https://github.com/DeLightCMU/PSA

공식 코드

Polarized Self-Attention: Towards High-quality Pixel-wise Regression

https://github.com/DeepLabCut/DeepLabCut

공식 코드

SuperAnimal pretrained pose estimation models for behavioral analysis

https://github.com/IDEA-Research/UniPose

공식 코드

X-Pose: Detecting Any Keypoints

https://github.com/Microsoft/human-pose-estimation.pytorch

공식 코드

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/SebastianJanampa/DETRPose

공식 코드

DETRPose: Real-time end-to-end transformer model for multi-person pose estimation

https://github.com/Sophie-Xu/Pose_DomainAdaption

공식 코드

Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation

https://github.com/VRU-intention/casr

공식 코드

Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation

https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation

공식 코드

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

https://github.com/adaptivemotorcontrollab/modelzoo-figures

공식 코드

SuperAnimal pretrained pose estimation models for behavioral analysis

https://github.com/aghasemzadeh/openmpl

공식 코드

MPL: Lifting 3D Human Pose from Multi-view 2D Poses

https://github.com/cantarinigiorgio/HHP-Net

공식 코드

HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty

https://github.com/cbfinn/maml

공식 코드

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

https://github.com/cbfinn/maml_rl

공식 코드

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

https://github.com/chenbys/fmmp

공식 코드

Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation

https://github.com/chenbys/metapoint

공식 코드

Meta-Point Learning and Refining for Category-Agnostic Pose Estimation

https://github.com/dkgupta90/re-siamnet

공식 코드

Rotation Equivariant Siamese Networks for Tracking

https://github.com/goldbricklemon/uplift-upsample-3dhpe

공식 코드

Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers

https://github.com/idea-research/x-pose

공식 코드

X-Pose: Detecting Any Keypoints

https://github.com/idiap/residual_pose

공식 코드

Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation

https://github.com/jakesnell/prototypical-networks

공식 코드

Prototypical Networks for Few-shot Learning

https://github.com/junkunyuan/hap

공식 코드

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

https://github.com/kirkegaardlab/deeptangle

공식 코드

Fast spline detection in high density microscopy data

https://github.com/kirkegaardlab/deeptanglelabel

공식 코드

Fast spline detection in high density microscopy data

https://github.com/kyungminjin/hanet

공식 코드

Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos

https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

공식 코드

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/luminxu/pose-for-everything

공식 코드

Pose for Everything: Towards Category-Agnostic Pose Estimation

https://github.com/marketto89/open_ptrack

공식 코드

Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks

https://github.com/matanr/capex

공식 코드

CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation

https://github.com/mertkayhan/SSL-2D-Pose

공식 코드

Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments

https://github.com/mgb45/mkfbodytracker_pdaf

공식 코드

Single camera pose estimation using Bayesian filtering and Kinect motion priors

https://github.com/microsoft/multiview-human-pose-estimation-pytorch

공식 코드

Cross View Fusion for 3D Human Pose Estimation

https://github.com/open-mmlab/mmpose

공식 코드

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

https://github.com/opengvlab/unihcp

공식 코드

UniHCP: A Unified Model for Human-Centric Perceptions

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.