A Fast Lightweight 3D Separable Convolutional Neural Network With Multi-Input Multi-Output for Moving Object Detection

A Fast Lightweight 3D Separable Convolutional Neural Network With Multi-Input Multi-Output for Moving Object Detection

Advances in moving object detection have been driven by the active application of deep learning methods. However, many existing models render superior detection accuracy at the cost of high computational complexity and slow inference speed. This fact has hindered the development of such models in mo...

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Bibliographic Details
Main Authors: Bingxin Hou, Ying Liu, Nam Ling, Lingzhi Liu, Yongxiong Ren
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Convolutional neural network
depthwise convolution
moving object detection
multi-input multi-output
pointwise convolution
scene independent evaluation
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/95b6bf8fc40a4a729d71a7693329d1e2
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https://doaj.org/article/95b6bf8fc40a4a729d71a7693329d1e2

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