https://github.com/ShirleyMaxx/ContextPose-PyTorch-release
Context Modeling in 3D Human Pose Estimation: A Unified Perspective
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 31
- 보존된 평가 기록
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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/Shritesh99/100DaysofMLCodeChallenge
https://github.com/Shritesh99/Image_Super_Resolution
https://github.com/SimonLBSoerensen/Flexible-Camera-Calibration
Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve
https://github.com/SimonWT/cv-project-2020
https://github.com/SimoneDutto/EDSR
https://github.com/Sobeit-Tim/NuguEyeTest
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/Somoina/OpenHorse
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/SonginCV/GMPHD_MAF
https://github.com/SonginCV/GMPHD_SAF
https://github.com/SonginCV/MAF_HDA
https://github.com/Ssong24/CenterNet_Custom
https://github.com/StanfordVL/iGibsonChallenge2021
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning
https://github.com/StephenEkaputra/Mask_RCNN-TinyPascalVOC
https://github.com/Stick-To/CenterNet-tensorflow
https://github.com/StrikerCC/Teaser-plusplus-testing
https://github.com/StuartHadfield/neural-odes
https://github.com/StupidmanTan/facebookresearch
https://github.com/SukhyunCho/NTU_motion_sim_annotations
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
https://github.com/SunJuil-Ty/simplebaselines-mindspore
https://github.com/SyBorg91/pose-estimation-detection
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/SyedUmaidAhmed/Pose-Detection-Sitting-Standing
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/TArdelean/DynamicConvolution
https://github.com/TOPO-EPFL/CrossLoc-Benchmark-Datasets
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
https://github.com/TahmasbiM/Example
https://github.com/TanakitInt/SRCNN-anime
https://github.com/TariqBerrada/Pose-Estimation-with-Stacked-Hourglass
https://github.com/TeCSAR-UNCC/EfficientHRNet
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
https://github.com/TejasBajania/Mtech_pro
https://github.com/TejasBajania/Mtech_thesis_project
https://github.com/Tencent/tencent-ml-images
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
https://github.com/ThanhDinhDat/center_net_points
https://github.com/TheStageAI/TorchIntegral
https://github.com/Theopetitjean/DenseFusion_R_Invariant
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/ThibaultGROUEIX/3D-CODED
https://github.com/Thinklab-SJTU/PCA-GM
SuperGlue: Learning Feature Matching with Graph Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.