CPC G06V 40/107 (2022.01) [G06F 17/15 (2013.01); G06N 3/04 (2013.01); G06T 7/136 (2017.01)] | 20 Claims |
1. A method comprising:
generating an initial segmentation for a training image, the initial segmentation indicating, without body part annotations, probabilities that a portion of the training image corresponds to particular body parts of a figure, the probabilities based on joints in the figure;
training a first model based on the training image and the initial segmentation;
generating a new segmentation for the training image based on the trained first model;
refining the new segmentation using a conditional random field (CRF) model;
reinitializing the trained first model; and
re-training the first model based on the training image and the refined new segmentation.
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