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Vehicle Re-identification Using Quadruple Directional Deep Learning Features
Specifically, the same basic deep learning architecture is a shortly and densely connected convolutional neural network to extract basic feature maps of an input square vehicle image in the first stage.
Ranked #3 on
Vehicle Re-Identification
on VehicleID Large
(mAP metric)
Automatic Recognition of Coal and Gangue based on Convolution Neural Network
We designed a gangue sorting system, and built a convolutional neural network model based on AlexNet.
Deep Hybrid Similarity Learning for Person Re-identification
In this paper, a deep hybrid similarity learning (DHSL) method for person Re-ID based on a convolution neural network (CNN) is proposed.
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