An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation

An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation

Remote sensing image object detection and instance segmentation are widely valued research fields. A convolutional neural network (CNN) has shown defects in the object detection of remote sensing images. In recent years, the number of studies on transformer-based models increased, and these studies...

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Bibliographic Details
Main Authors:	Xiangkai Xu, Zhejun Feng, Changqing Cao, Mengyuan Li, Jin Wu, Zengyan Wu, Yajie Shang, Shubing Ye
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Series:	Remote Sensing
Subjects:	instance segmentation object detection Swin transformer remote sensing image cascade mask R-CNN
Online Access:	https://www.mdpi.com/2072-4292/13/23/4779

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