https://github.com/rg2/DeepFluoroLabeling-IPCAI2020
Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation
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/rg321/anode_mtvso
https://github.com/rh01/fast-rnn
https://github.com/rh01/faster-rcnn
https://github.com/rharish101/DeFMO
https://github.com/rickyHong/py-faster-rcnn-repl
https://github.com/rickyHong/py-faster-rcnn-repl-cudnn5-support
https://github.com/rickyhan/SimGAN-Captcha
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/rijuldhir/TSM
https://github.com/rikichou/mmpose
https://github.com/rkem1542/EDSR-pytorch
https://github.com/robotvisionmu/densemonoslam
https://github.com/roboverseorg/roboverse
https://github.com/rogerwwww/PCA-GM
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/rohitrango/Adversarial-Pose-Estimation
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
https://github.com/romanus/code_tekinetal_iccv17
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
https://github.com/rootAkash/vision.ai
https://github.com/rowantseng/FUnIE-GAN-PyTorch
Fast Underwater Image Enhancement for Improved Visual Perception
https://github.com/rozumden/ShapeFromBlur
https://github.com/rozumden/tbd
https://github.com/rozumden/tbd3d
https://github.com/ruhyadi/YOLO3D
https://github.com/ruhyadi/yolo3d-lightning
https://github.com/russoale/hmr2.0
https://github.com/rvorias/uvHolographics
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/ryanhalabi/starcraft_super_resolution
https://github.com/saadbutt32/Conversion-of-Pakistan-Sign-Languag-into-Text-and-Speech-using-OpenPose-and-Machine-Learning
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/saadbutt32/Pakistan-Sign-Language-Interpreter
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/saehan-choi/pixellib_auto_labelling
https://github.com/sahithchada/NOCS_PyTorch
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/sailor-z/clnet
https://github.com/salihkaragoz/pose-residual-network-pytorch
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
https://github.com/salinasJJ/BBpose
https://github.com/salykovaa/inerf
https://github.com/samsh19/ML_project
https://github.com/samson6460/tf2_pose_estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.