LOOKUP-BASED CONVOLUTIONAL NEURAL NETWORK

Patent №

US 10,691,975

Granted

2020-06-23

Filed 2018

Owner

XNOR.AI, INC.

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16038083

Systems and methods are disclosed for lookup-based convolutional neural networks. For example, methods may include applying a convolutional neural network to image data based on an image to obtain an output, in which a layer of the convolutional network includes filters with weights that are stored as a dictionary (D) of channel weight vectors, a respective lookup index tensor (I) that indexes the dictionary, and a respective lookup coefficient tensor (C), and in which applying the convolutional neural network includes: convolving the channel weight vectors of the dictionary (D) with an input tensor based on the image to obtain an input dictionary (S), and combining entries of the input dictionary (S) that are indexed with indices from the respective lookup index tensor (I) and multiplied with corresponding coefficients from the respective lookup coefficient tensor (C); and storing, displaying, or transmitting data based on the output of the convolutional neural network.

Machine learningVisionAI hardwareG06V 10/82G06F 18/214G06F 18/217G06F 18/24133G06F 18/28G06N 3/045G06N 3/0464G06N 3/0495+6 more

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Natural language0.17
Speech0.04
Planning0.01
Evolutionary computation0.00
Knowledge representation0.00

Ownership

XNOR.AI, INC.

assignment · 464410757

Assignors

BAGHERINEZHAD, HESSAM, FARHADI, ALI, RASTEGARI, MOHAMMAD

On an employer assignment, the assignors are typically the inventors.

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