Papers with Code 아카이브
Multi-Person Pose Estimation
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Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.
<span style="color:grey; opacity: 0.6">( Image credit: Human Pose Estimation with TensorFlow )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/qdhill/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/qilei123/pyfasterrcnn
https://github.com/qq330488563/TEST
https://github.com/quangvy2703/ABCNet-ESRGAN-SRTEXT
https://github.com/quic/aimet-model-zoo
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/quocdat32461997/Mask_RCNN
https://github.com/radioactiverockets/OpenPoseBreackoutGame
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/ravenwritingdesk/py-faster-rcnn-master
https://github.com/raymon-tian/hourglass-facekeypoints-detection
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
https://github.com/rh01/fast-rnn
https://github.com/rh01/faster-rcnn
https://github.com/rickyHong/py-faster-rcnn-repl
https://github.com/rickyHong/py-faster-rcnn-repl-cudnn5-support
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/salihkaragoz/pose-residual-network-pytorch
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
https://github.com/samsh19/ML_project
https://github.com/samson6460/tf2_pose_estimation
https://github.com/sananand007/Xrelab
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/sbetageri/MaskRCNN
https://github.com/scolocke/Traffic_Sign_ID_GTSRB_GTSDB
https://github.com/sdll/hrnet-pose-estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/shihenw/convolutional-pose-machines-release
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/shuuchen/PoseWarper.pytorch
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
https://github.com/simochen/flowtrack.pytorch
https://github.com/sithu31296/pose-estimation
Human Pose Regression with Residual Log-likelihood Estimation
https://github.com/smartadpole/spider
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/soulguy/Faster-rcnn
https://github.com/soulslicer/staf
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/srini2dl/DogPoseEstimation
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/ssanyachetwani/Fashion-Trend-Detection-and-Recommendation-Model
https://github.com/stanleycelestin1/AirsimDetectron
https://github.com/starman360/openpose_xavier
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/stevehjc/pose-ae-demo-tf
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.