Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues
DensePose supersedes traditional landmark detectors by densely mapping image pixels to body surface coordinates. This power, however, comes at a greatly increased annotation cost, as supervising the model requires to manually label hundreds of points per pose instance. In this work, we thus seek methods to significantly slim down the …