Patent ID: 11861497
Assignee: L'OREAL
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A method comprising:
storing in a storage unit of a computing device a convolutional neural network (CNN) configured to classify pixels of an image to determine whether each of the pixels is an object pixel or not an object pixel to define an object segmentation mask for an object in the image; and
processing an image via a processing unit of the computing device using the CNN to generate the object segmentation mask to define a new image; and
wherein the CNN comprises a pre-trained network for image classification adapted to define the object segmentation mask and trained with segmentation data,
wherein the CNN is adapted to, at least one of:
use a mask-image gradient consistency loss function to minimize a mask-image gradient consistency loss when trained using segmentation data; and
use skip connections between layers in an encoder stage and corresponding layers in a decoder stage to combine low resolution but powerful features and high resolution but weak features when upsampling in the decoder stage to define the object segmentation mask.