Patent ID: 11928790
Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. An object recognition learning method, the method comprising:
simultaneously optimizing, by a parameter optimizer in relation to a neural network that includes a resolution increasing layer, which is an intermediate layer that outputs an intermediate high-resolution image having an increased resolution using an image as input, and a feature extraction layer, which outputs a feature vector using the intermediate high-resolution image output from the resolution increasing layer as input, respective parameters of the resolution increasing layer and the feature extraction layer of the neural network using a loss function, the loss function being expressed using:
a difference between an arbitrary image and the intermediate high-resolution image, which is acquired using a low-resolution image corresponding to the arbitrary image as input,
a difference between a feature vector acquired using the intermediate high-resolution image as input and a feature vector acquired using an image to which an identical label to the arbitrary image is attached as input, and
a difference between the feature vector acquired using the intermediate high-resolution image as input and a feature vector acquired using an image to which a different label to the arbitrary image is attached as input.