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1. (WO2018081135) POINT TO SET SIMILARITY COMPARISON AND DEEP FEATURE LEARNING FOR VISUAL RECOGNITION

Pub. No.:    WO/2018/081135    International Application No.:    PCT/US2017/058104
Publication Date: Fri May 04 01:59:59 CEST 2018 International Filing Date: Wed Oct 25 01:59:59 CEST 2017
IPC: G06K 9/46
G06K 9/62
G06K 9/66
G06N 3/04
B60R 21/00
Applicants: VMAXX INC.
Inventors: WANG, Jinjun
ZHOU, Sanpin
Title: POINT TO SET SIMILARITY COMPARISON AND DEEP FEATURE LEARNING FOR VISUAL RECOGNITION
Abstract:
A visual recognition system to process images includes a global sub-network including a convolutional layer and a first max pooling layer. A local sub-network is connected to receive data from the global sub-network, and includes at least two convolutional layers, each connected to a max pooling layer. A fusion network is connected to receive data from the local sub-network, and includes a plurality of fully connected layers that respectively determine local feature maps derived from images. A loss layer is connected to receive data from the fusion network, set filter parameters, and minimize ranking error.