Learning Adjustable Reduced Downsampling Network for Small Object Detection in Urban Environments

Learning Adjustable Reduced Downsampling Network for Small Object Detection in Urban Environments

Detecting small objects (e.g., manhole covers, license plates, and roadside milestones) in urban images is a long-standing challenge mainly due to the scale of small object and background clutter. Although convolution neural network (CNN)-based methods have made significant progress and achieved imp...

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Bibliographic Details
Main Authors: Huijie Zhang, Li An, Vena W. Chu, Douglas A. Stow, Xiaobai Liu, Qinghua Ding
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
mobile mapping
deep learning
convolution neural network (CNN)
object detection
small urban elements
reduced downsampling network
Online Access:https://www.mdpi.com/2072-4292/13/18/3608

Internet

https://www.mdpi.com/2072-4292/13/18/3608

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