Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 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/dongzhuoyao/jessiechouuu-adversarial-pose
https://github.com/dragonbook/V2V-PoseNet-pytorch
https://github.com/dreamway/CenterNet-objects-as-points
https://github.com/drhdr-user/drhdr
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/dronefreak/human-action-classification
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/dsba-lab/openal
https://github.com/ducongju/HRNet
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/dumyy/handpose
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
https://github.com/dungxibo123/neural_ode
https://github.com/dvl-tum/motsynth-baselines
https://github.com/dvlab-research/msad
https://github.com/ebarsoum/hpgan
https://github.com/edavalosanaya/FastPoseCNN
https://github.com/efeatikkan/Human_Pose_Estimation
https://github.com/eho-tacc/DeepLabCut
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/eivan/multiview-LAFs-correction
https://github.com/eldar/deepcut
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
https://github.com/eldar/deepcut-cnn
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
https://github.com/eldar/differentiable-point-clouds
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
https://github.com/eldar/pose-tensorflow
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/eliasboughosn/Spatial-Temporal-Graph-Convolutional-Networks
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/elonashatri/pitch_mask_rcnn
https://github.com/enriccorona/human-motion-prediction-pytorch
https://github.com/erezposner/HandKeyPointDetector
Hand Keypoint Detection in Single Images using Multiview Bootstrapping
https://github.com/eric-erki/Visualising-Facial-Expression-Changes
https://github.com/eric-erki/pose-residual-network-pytorch
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
https://github.com/ericksiavichay/cs230-final-project
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/eriklindernoren/PyTorch-GAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/eshaanagarwal/hr-net-implementation
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/estelabalboa/Proyecto_Final_Pilates
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/ethz-asl/hf_net
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
https://github.com/ethz-asl/hfnet
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
https://github.com/euphoria0-0/Learning-Loss-for-Active-Learning
https://github.com/evaristr/py-faster_rcnn
https://github.com/event-driven-robotics/bimvee
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.