Swin-Pose: Swin Transformer Based Human Pose Estimation. (arXiv:2201.07384v1 [cs.CV])

Convolutional neural networks (CNNs) have been widely utilized in many
computer vision tasks. However, CNNs have a fixed reception field and lack the
ability of long-range perception, which is crucial to human pose estimation.
Due to its capability to capture long-range dependencies between pixels,
transformer architecture has been adopted to computer vision applications
recently and is proven to be a highly effective architecture. We are interested
in exploring its capability in human pose estimation, and thus propose a novel
model …

arxiv cv human swin transformer