https://github.com/avhixd/human_pose_estimation
공식 코드Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipe
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/avinashpaliwal/Deep-SloMo
공식 코드Deep Slow Motion Video Reconstruction with Hybrid Imaging System
https://github.com/avinres/lwirpose
공식 코드https://github.com/axeber01/dold
공식 코드https://github.com/axelBarroso/Key.Net
공식 코드Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
https://github.com/axelbarroso/scalenet
공식 코드https://github.com/axle-lab/wheelposer
공식 코드WheelPoser: Sparse-IMU Based Body Pose Estimation for Wheelchair Users
https://github.com/ayh015-dev/da-llpose
공식 코드Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions
https://github.com/aymenmir1/hps
공식 코드https://github.com/baaivision/painter
공식 코드Images Speak in Images: A Generalist Painter for In-Context Visual Learning
https://github.com/bafanas/dlc-object-recognition-analysis
공식 코드https://github.com/bald6354/tore_volumes
공식 코드https://github.com/banafshebamdad/InCrowd-VI
공식 코드https://github.com/baniks/PoseGraphNet
공식 코드https://github.com/baoshengyu/H3R
공식 코드https://github.com/bardiadoosti/HOPE
공식 코드HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
https://github.com/bastianwandt/CanonPose
공식 코드CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
https://github.com/bbacic/tnwahi-appakrcs
공식 코드https://github.com/bbenligiray/stag
공식 코드https://github.com/bchimagine/real_time_fetal_brain_segmentation
공식 코드Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI
https://github.com/bcv-uniandes/egocol
공식 코드https://github.com/bearpaw/PyraNet
공식 코드https://github.com/benbillot/spatial_regularisation
공식 코드Spatial regularisation for improved accuracy and interpretability in keypoint-based registration
https://github.com/bgu-cs-vil/timepoint
공식 코드TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
https://github.com/bidalab/improve
공식 코드https://github.com/bigrayss/motion2vec
공식 코드https://github.com/bjmch/MRVSR
공식 코드https://github.com/bjoern-andres/graph
공식 코드Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications
https://github.com/bluedream1121/REKD
공식 코드Self-Supervised Equivariant Learning for Oriented Keypoint Detection
https://github.com/bluedream1121/self-sca-ori
공식 코드https://github.com/bmartacho/OmniPose
공식 코드OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation
https://github.com/bmartacho/UniPose
공식 코드UniPose: Unified Human Pose Estimation in Single Images and Videos
https://github.com/bobetocalo/bobetocalo_pami20
공식 코드https://github.com/bochenys/rope
공식 코드Occlusion-Robust Object Pose Estimation with Holistic Representation
https://github.com/boqian-li/ETCH
공식 코드ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness
https://github.com/boreshkinai/hybrik-transformer
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.