DeepPose: Human Pose Estimation via Deep Neural Networks

Estimation of the human pose from a monocular camera has been an emerging research topic in the computer vision community with many applications. Recently, benefiting from the deep learning technologies, a significant amount of research efforts have ...

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We build a modern convolutional neural network. Specifically, we design convolutional variants of some of the components in Transformers and incorporate these convolutional components ...

• A pure convolutional neural network for human pose estimation is proposed.
• ...

Transformer-based networks almost thoroughly outperformed those based on convolutional neural network (ConvNet) and predominate in the field of pose estimation. To get off the hook and resuscitate ConvNets, we propose ConvPose, which ...

Research on 3D human pose estimation based on deep neural networks has recently witnessed substantial progress in both accuracy and execution efficiency. Many methods combine the deep neural network-based 2D pose estimation and 3D pose ...