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/paulpanwang/POPE
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference
https://github.com/pedrobvidal/insightface
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
https://github.com/pedropro/UrsoNet
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
https://github.com/pengwangucla/DeLS-3D
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
https://github.com/perfanalytics/pose2sim
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
https://github.com/periakiva/periakiva
ViewSynth: Learning Local Features from Depth using View Synthesis
https://github.com/peterfws/structure-plp-slam
Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction
https://github.com/peteryuX/esrgan-tf2
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/philipNoonan/OPVP3D
3D human pose estimation in video with temporal convolutions and semi-supervised training
https://github.com/phtruongan/py-faster-rcnn-docker
https://github.com/phykn/film-defect-detection
https://github.com/pierobeat/Hoax-News-Classification
https://github.com/pikabite/segmentations_tf2
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/pilot7747/sldl
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
https://github.com/pixelite1201/CameraHMR
https://github.com/pj1920/mask-r-cnn
https://github.com/pjrambo/VINS-Fusion-gpu
A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
https://github.com/pminhtam/2D-3D_Multitask_Deep_Learning
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
https://github.com/pmiraldo/MinimalMultiPerspectivePose
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines
https://github.com/pocheck-v2/Pocheck-V2-Beta
https://github.com/pohwa065/Deep-Learning-for-Super-Resolution-and-Image-Enhancement
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/pohwa065/SRGAN-for-Super-Resolution-and-Image-Enhancement
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/poier/PreView
Learning Pose Specific Representations by Predicting Different Views
https://github.com/poier/murauer
https://github.com/poikilos/pyrotocanvas
https://github.com/polospeter/TensorFlow-Advanced-Techniques-Specialization
https://github.com/poyushen/classifaction
https://github.com/pranav-chib/trajimpute
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
https://github.com/pranoyr/pose-estimation-with-transformers
End-to-End Trainable Multi-Instance Pose Estimation with Transformers
https://github.com/princeton-vl/Princeton365
https://github.com/princeton-vl/pose-ae-train
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
https://github.com/princeton-vl/pose-hg-demo
https://github.com/prstrive/CondConv-tensorflow
https://github.com/psanch21/VAE-GMVAE
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
https://github.com/psychopa4/PFNL
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.