Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images

Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images

Object detection has made tremendous progress in natural images over the last decade. However, the results are hardly satisfactory when the natural image object detection algorithm is directly applied to satellite images. This is due to the intrinsic differences in the scale and orientation of objec...

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Bibliographic Details
Main Authors: Hang Gong, Tingkui Mu, Qiuxia Li, Haishan Dai, Chunlai Li, Zhiping He, Wenjing Wang, Feng Han, Abudusalamu Tuniyazi, Haoyang Li, Xuechan Lang, Zhiyuan Li, Bin Wang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
satellite images
object detection
self-attention mechanism
Swin transformer
deep learning
Online Access:https://www.mdpi.com/2072-4292/14/12/2861

Internet

https://www.mdpi.com/2072-4292/14/12/2861

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