推荐20个姿态估计深度学习模型
好的，这里是 20 个深度学习模型用于姿态估计的推荐：
2D/3D Convolutional Neural Networks
Recurrent Neural Networks
Self-supervised Learning
Generative Adversarial Networks
Attention-based Networks
Graph Neural Networks
Multi-view Networks
Convolutional Pose Machines
End-to-end Learning
Hybrid Networks
Part-based Networks
Deformable Part Models
Dense Regression Networks
Spatial Transformer Networks
Adversarial Training
Deep Reinforcement Learning
Generative Models
Transfer Learning
Domain Adaptation
Few-shot Learning
推荐20个姿态估计深度学习模型源码
这是几个推荐的姿态估计深度学习模型源码：
OpenPose：https://github.com/CMU-Perceptual-Computing-Lab/openpose
AlphaPose：https://github.com/MVIG-SJTU/AlphaPose
HRNet：https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
SimpleBaselines：https://github.com/Microsoft/human-pose-estimation.pytorch
GluonCV：https://github.com/dmlc/gluon-cv
LightTrack：https://github.com/ZhouYanzhao/lighttrack
DensePose：https://github.com/facebookresearch/DensePose
AlphaPose-PyTorch：https://github.com/YuliangXiu/AlphaPose-PyTorch
PoseFlow：https://github.com/xingyizhou/PoseFlow
OpenPose-Plus：https://github.com/Daniil-Osokin/openpose-plus
LightTrack2：https://github.com/ZhouYanzhao/LightTrack2
OpenPose-Keras：https://github.com/michalfaber/keras_Realtime_Multi-Person_Pose_Estimation
AlphaPose-TensorFlow：https://github.com/MVIG-SJTU/AlphaPose-Tensorflow
StafiedPose：https://github.com/tensorboy/stafiedpose
AlphaPose-fast：https://github.com/MVIG-SJTU/AlphaPose-fast
SimplePose：https://github.com/xiaolonw/pose-hg-train
CMU-Perceptual-Computing-Lab：https://github.com/CMU-Perceptual-Computing-Lab
PoseEstimation.pytorch：https://github.com/Microsoft/PoseEstimation.pytorch
SimpleBaselines-pytorch：https://github.com/Microsoft/human-pose-estimation.pytorch
Realtime_Multi-Person_Pose_Estimation：https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
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