Intelligent Real-world Visual Auxiliary System
Lianwu Yang, Ying Li · IEEE Access · 2020
In this paper, the object recognition module of a visual auxiliary system, InVision, called IR-VP, is presented. (1) Deep multimodal neural network (DMNN) is presented to enhance CNNs’ sampling abilitiy and feature resolutions. (2) Deep distance learning (DDL) is presented to find similarity and reduce representation redundancy. (3) The light weight MobileNet is used to accelerate. Extensive experiments demonstrate that the proposed approach significantly outperforms state-of-the-arts.