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/2024-MindSpore-1/Code4/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/2024-MindSpore-1/Code5/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/2024-MindSpore-1/Code6/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/2024-MindSpore-1/Code6/tree/main/ArtTrack
https://github.com/2024-MindSpore-1/Code7/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2xic/openpose-pigs
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
https://github.com/360jinrong/GBST
https://github.com/3d-hand-shape/hand-graph-cnn
https://github.com/3dlg-hcvc/ANCSH-pytorch
https://github.com/3dtopia/openlrm
https://github.com/545641826/espcn
https://github.com/593903762/center
https://github.com/5yearsKim/HamiltonianFlow
https://github.com/674106399/JointBoneLoss
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
https://github.com/97andrea97/CenterNet-PNPDet
https://github.com/AKASH2907/bird-species-classification
https://github.com/AKASH2907/bird_species_classification
https://github.com/AP-EPFL/DA-segmentation-driven-pose
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/ARMUGHAN-SHAHID/MoboDensepose
https://github.com/AaltoVision/relativeCameraPose
Relative Camera Pose Estimation Using Convolutional Neural Networks
https://github.com/Aanisha/SuperResolution
https://github.com/AbhinayReddyYarva/SuperResolution
https://github.com/AbiterVX/ST-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/AemikaChow/DATASOURCE
https://github.com/AhsanAliLodhi/curriculum_learning_blenderproc
https://github.com/AimAlex/Multi-view-3D-Human-Pose
A generalizable approach for multi-view 3D human pose regression
https://github.com/AkashGanesan/PedestrianAttention
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/AlberetOZ/WondeRobe_Clothes_test
https://github.com/AlexEMG/DeepLabCut
Deep learning tools for the measurement of animal behavior in neuroscience
https://github.com/AlexHex7/SimGAN_pytorch
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/Alexander-Whelan/Zeus
https://github.com/Alioth2000/RASVSR
https://github.com/AlongRide/CenterNet_anchor_free
https://github.com/AlongRide/Py3torch_HigherHRNet
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/AlphaGergedan/Sampling-HNNs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.