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/kdethoor/panoptictorch
https://github.com/ken724049/action-recognition
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/kohillyang/mx-detection
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/krantirk/py-faster-rcnn
https://github.com/krishnac7/OpenPose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/krutikabapat/Deep-Learning-based-OpenPose-Estimation
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/laobaiswag/openpose1
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/laowang666888/ECSP1
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
https://github.com/laowang666888/HRNET
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/leeyegy/SimDR
https://github.com/leeyegy/simcc
https://github.com/leochangzliao/OPBM
https://github.com/leonardhan1979/fasterRCNN
https://github.com/liang-faan/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/lichengunc/mask-faster-rcnn
https://github.com/ligaoqi2/res-loglikelihood-regression-with-COCO-video-demo
Human Pose Regression with Residual Log-likelihood Estimation
https://github.com/lincaiming/py-faster-rcnn-update
https://github.com/lincaiming/py-faster-rcnn-windows
https://github.com/lixiaolei1982/DenseNet-base-Mask-RCNN-for-Human-Pose-Estimation
https://github.com/lncarter/Openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/longcw/roialign.pytorch
https://github.com/louisyuzhe/car-damage-detector
https://github.com/ls5122/mask-rcnn
https://github.com/lucylow/salty-wet-man
https://github.com/lukoucky/image_recommendation
https://github.com/lwxGitHub123/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/lwxGitHub123/openpose20200610
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/lyqcom/alphapose
https://github.com/maxfrei750/DeepParticleNet
https://github.com/maxfrei750/FibeR-CNN
https://github.com/megvii-detection/MSPN
https://github.com/mgolnezhad/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/miaohua1982/simple_fasterrcnn_pytorch
https://github.com/mic-dkfz/medicaldetectiontoolkit
https://github.com/mindspore-ai/models/blob/master/research/cv/simple_baselines/
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.