Lightweigth Convolutional Neural Networks for Person Re-Identification

Abstract
Person Re-Identification (Re-ID) is an important task in video surveillance systems. Computer vision algorithms can be used to search, retrieve and localize the person of interest in a camera network. Person Re-ID research is an active research, and most of the researches use deep backbone networks, such as ResNet-50 and GoogleNet, which are complex networks with many parameters to train. However, it is computationally complex and time consuming...
Paper Details
Title
Lightweigth Convolutional Neural Networks for Person Re-Identification
Published Date
Jun 11, 2021
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