
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



















