PlaneNet: an efficient local feature extraction network

PlaneNet: an efficient local feature extraction network

Due to memory and computing resources limitations, deploying convolutional neural networks on embedded and mobile devices is challenging. However, the redundant use of the 1 × 1 convolution in traditional light-weight networks, such as MobileNetV1, has increased the computing time. By utilizing the...

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Bibliographic Details
Main Authors: Bin Lin, Houcheng Su, Danyang Li, Ao Feng, Hongxiang Li, Jiao Li, Kailin Jiang, Hongbo Jiang, Xinyao Gong, Tao Liu
Format: Article
Language:English
Published: PeerJ Inc. 2021-12-01
Series:PeerJ Computer Science
Subjects:
Feature extraction
Local feature fusion
efficiency
Strong operability
Reduce redundant
Online Access:https://peerj.com/articles/cs-783.pdf

Internet

https://peerj.com/articles/cs-783.pdf

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