Article

MSTPose: Learning Enriched Visual Information with Multi-Scale Transformers for Human Pose Estimation

2023-06-27

Abstract excerpt

Human pose estimation is a complex detection task in which the network needs to capture the rich information contained in the images. In this paper, we propose MSTPose (Multi-Scale Transformer for human Pose estimation). Specifically, MSTPose leverages a high-resolution Convolution neural network (CNN) to extract texture information from images. For the feature maps from three different scales produced by the back...

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Literature Corpus work: d0c60e6c-7917-543e-a554-0cd73373088a
DOI: 10.20944/preprints202306.1842.v1

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