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Automating Image Analysis by Annotating Landmarks with Deep Neural Networks
Image and video analysis is often a crucial step in the study of animal behavior and kinematics.
Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets
Our work introduces a novel way to increase pose estimation accuracy by discovering parts from unannotated regions of training images.
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