Patent ID: 11914641
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A method of training a neural network, the method comprising:
encoding, by a text encoder, a color term to obtain an embedded color term in a text embedding space;
converting, by a text embedding network, the embedded color term from the text embedding space into an embedded color representation in a color embedding space, wherein the embedded color representation includes a plurality of corresponding to binned regions of a perceptually uniform color space, respectively;
identifying a positive color representation corresponding to the color term and a negative color representation that does not correspond to the color term;
computing a metric learning loss based on the embedded color representation, the positive color representation, and the negative color representation; and
training a color embedding network based on the metric learning loss, wherein the color embedding network is trained to generate the embedded color representation using training data including color images having a single color per training image and color text corresponding to the color images, respectively.