https://github.com/Thinklab-SJTU/ThinkMatch
SuperGlue: Learning Feature Matching with Graph Neural Networks
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/ThomasDupiereux/hpgan
https://github.com/TomokiKomiya/SRGAN-keras
https://github.com/TuSimple/mx-maskrcnn
https://github.com/Tudouu/stgcn_light_op
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/UBC-Computer-Vision-Group/DwNet
https://github.com/UMich-BipedLab/AprilTag_ROS
https://github.com/UMich-BipedLab/ROB101-ExtrinsicCalibrationProblem
https://github.com/UMich-BipedLab/automatic_lidar_camera_calibration
https://github.com/UMich-BipedLab/lidar_simulator
https://github.com/UMich-BipedLab/sync_lidartag_apriltag
https://github.com/UPCLJ/py-faster-rcnn
https://github.com/UofTrees/ProjectX2020
https://github.com/VCL3D/DronePose
https://github.com/VCL3D/UAVA
https://github.com/VCL3D/VolumetricCapture
Deep Soft Procrustes for Markerless Volumetric Sensor Alignment
https://github.com/VL97/Pose-estimation-using-Deep-CNN-encoder
https://github.com/VNOpenAI/tf-blazepose
https://github.com/Varun-Tandon14/Implementation-of-Cross-View-Tracking-for-Multi-Human-3D-Pose-Estimation-at-over-100-FPS
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
https://github.com/Vill-Lab/2022-TIP-HCGA
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/Visual-Attention-Network/VAN-Jittor
https://github.com/Visual-Attention-Network/VAN-Segmentation
https://github.com/WYGNG/CenterNet-Pro
https://github.com/WYGNG/USTC_SSE_Project
https://github.com/WarrenGreen/srcnn
https://github.com/Wastoon/XinTong_CenterNet
https://github.com/Watson-BCA/HumanPostureRecognition
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/Wavelet303/HAMR
https://github.com/WavesUR/embedded_TSM
https://github.com/Weifeng73/Zero-Shot-Super-resolution
https://github.com/Wiqzard/PViT-6D
https://github.com/XPixelGroup/BasicSR
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
https://github.com/XinArkh/VNect
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
https://github.com/Xingyu-Romantic/RMPose_PAF
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/XinzeWu/st-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/XiuyuLiu/Application-of-Deep-Learning-models-in-Single-Image-Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.