DEVICES, SYSTEMS, AND METHODS FOR PAIRWISE MULTI-TASK FEATURE LEARNING

摘要

Systems, method, and devices for pairwise multi-task feature learning are described. The systems obtain a set of digital images, obtain a neural network, and select a pair of digital images, which includes a first image and a second image. Also, the systems forward propagate the first image through a first copy of the neural network, thereby generating a first output, and the systems forward propagate the second image through a second copy of the neural network, thereby generating a second output. Furthermore, the systems calculate a gradient of a joint loss function at a pairwise-constraint layer of the neural network based on the first output, on the second output, and on a target. Additionally, the systems modify the neural network based on the gradient.

主权项

1. A method comprising:
obtaining a training set that includes digital images and side information of the digital images; obtaining a joint loss function for two or more tasks; and learning new features based on the joint loss function and on the training set of digital images.