Transferring Dense Pose to Proximal Animal Classes

CVPR 2020 Artsiom SanakoyeuVasil KhalidovMaureen S. McCarthyAndrea VedaldiNatalia Neverova

Recent contributions have demonstrated that it is possible to recognize the pose of humans densely and accurately given a large dataset of poses annotated in detail. In principle, the same approach could be extended to any animal class, but the effort required for collecting new annotations for each case makes this strategy impractical, despite important applications in natural conservation, science and business... (read more)

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