https://github.com/JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
Deep High-Resolution Representation Learning for Visual Recognition
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/Jarr0d/Human-Parsing-Network
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/Javihaus/Auto-ML-app-with-dash
https://github.com/JeeseongKim/SuperGlue
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/Jeff-sjtu/CrowdPose
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
https://github.com/Jia-Research-Lab/MSAD
https://github.com/Jia-Research-Lab/Simple-SR
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
https://github.com/JiaPeng1234/MRI-Segmentation-Transformer
https://github.com/JiangShaoYin/DAN
Deep Alignment Network: A convolutional neural network for robust face alignment
https://github.com/JiangWenPL/multiperson
Coherent Reconstruction of Multiple Humans from a Single Image
https://github.com/JirongZhang/DeepHomography
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
https://github.com/Jittor-Image-Models/Jittor-Image-Models
https://github.com/Jittor/InstanceSegmentation-jittor
https://github.com/JohnnyHopp/Pose-Estimation-Part-Affinity-Field-Mobilenetv2-
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/JonathanLehner/TecoGan-downloader
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
https://github.com/Joyce511/OpenVino_Realtime_Multi-Person_Pose_Estimation
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/Jtoo/fitting_human_smpl_model
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
https://github.com/JuliaChae/M3D-RPN-Waymo
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
https://github.com/Junghwan-brian/SDE-Net
https://github.com/JungminChung/Korean_Struc_Det
https://github.com/JunkyByte/deepcharuco
https://github.com/JunkyByte/easy_ViTPose
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
https://github.com/Junyi42/monst3r
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
https://github.com/KMarino/MMD_evalcode
The Pose Knows: Video Forecasting by Generating Pose Futures
https://github.com/KMnP/fashionpedia-api
https://github.com/KPIxLILU/Machine-Learning-Workshop
https://github.com/Kaif10/Pose-Detection
https://github.com/KarinaKorsgaard/Bartender-AI-OpenPose-Osc-Sender
https://github.com/Kathik-R/Gesture_Recognition_Drone
Hand Keypoint Detection in Single Images using Multiview Bootstrapping
https://github.com/KeremTurgutlu/papers
https://github.com/Khalifa-2020/centernet1
https://github.com/Khalifa-2020/centernet2
https://github.com/Khenu/Computer-Animation
https://github.com/KlabCMU/MEVA
3D Human Motion Estimation via Motion Compression and Refinement
https://github.com/Klawens/SwinPose
Distribution-Aware Coordinate Representation for Human Pose Estimation
https://github.com/KrisLee512/ST-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.