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Learning Dynamics Via Graph Neural Networks for Human Pose Estimation and Tracking

Computer Vision and Pattern Recognition(2021)

Cited 56|Views159
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Key words
learning dynamics,graph neural network,human pose estimation,estimating poses,data association,heavily-cluttered scenes,tracking-by-detection paradigm,occlusion,novel online approach,robust estimation,spatial-temporal information,visual information,historical pose tracklets,corresponding poses,detected poses,Pose-Track 2018 datasets,tracking tasks
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