公开(公告)号：US10452960B1

公开(公告)日：2019-10-22

申请号：US16147966

申请日：2018-10-01

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Yingmao Li ,  Vikram VijayanBabu Appia ,  Ziguo Zhong ,  Tarek Aziz Lahlou

IPC: G06K9/62 ,  G06N7/00 ,  G06N3/08 ,  G06T1/20 ,  G06K9/46

Abstract: An image classification system includes a convolutional neural network, a confidence predictor, and a fusion classifier. The convolutional neural network is configured to assign a plurality of probability values to each pixel of a first image of a scene and a second image of the scene. Each of the probability values corresponds to a different feature that the convolutional neural network is trained to identify. The confidence predictor is configured to assign a confidence value to each pixel of the first image and to each pixel of the second image. The confidence values correspond to a greatest of the probability values generated by the convolutional neural network for each pixel. The fusion classifier is configured to assign, to each pixel of the first image, a feature that corresponds to a higher of the confidence values assigned to the pixel of the first image and the second image.