Small-Object Detection Based on YOLO and Dense Block via Image Super-Resolution

Small-Object Detection Based on YOLO and Dense Block via Image Super-Resolution

Small-object detection is a basic and challenging problem in computer vision tasks. It is widely used in pedestrian detection, traffic sign detection, and other fields. This paper proposes a deep learning small-object detection method based on image super-resolution to improve the speed and accuracy...

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Bibliographic Details
Main Authors: Zhuang-Zhuang Wang, Kai Xie, Xin-Yu Zhang, Hua-Quan Chen, Chang Wen, Jian-Biao He
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Small-object detection
image super-resolution
dense block
foreground and background
balance loss function
multi-scale feature fusion
Online Access:https://ieeexplore.ieee.org/document/9399458/

Internet

https://ieeexplore.ieee.org/document/9399458/

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