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MaskMix:用于变化检测的掩码混合数据增强方法

邢艳 魏接达 汪若飞 黄睿

计算机应用研究2023,Vol.40Issue(12):3834-3840,3847,8.
计算机应用研究2023,Vol.40Issue(12):3834-3840,3847,8.DOI:10.19734/j.issn.1001-3695.2023.06.0228

MaskMix:用于变化检测的掩码混合数据增强方法

MaskMix:mask mixing augmentation method for change detection

邢艳 1魏接达 2汪若飞 2黄睿2

作者信息

  • 1. 中国民航大学安全科学与工程学院,天津 300300
  • 2. 中国民航大学计算机科学与技术学院,天津 300300
  • 折叠

摘要

Abstract

Data augmentation is a key technique to improve the generalizability of change detection models.Although the exis-ting data augmentation methods achieve promising performance in image classification and object detection,they ignore the differences among the time-series images and the diversities of the changed objects.In order to preserve the change region and increase the information of the complex background,this paper proposed a novel data augmentation method for change detection based on change region mask,called MaskMix.Firstly,the change regions of the current image pair were pasted on an image pair to generate a new change image pair having new background and new changes.Secondly,MaskMix further augmented the image pair by multi-path weighted fusion strategy.It selected a classical image processing method randomly from an image pro-cessing set for each path to conduct further augmentation.And then the processed image pairs from K paths were fused using a K-dimensional weight generated by Dirichlet distribution.Finally,the pre-processed image pair and the post-processed image pair were fused by the weight generated by the Beta distribution through the skip connection.Experiments conducted on two publicly available datasets,e.g.,BCD(build change detection)and LEVIR-CD(LEVIR building change detection dataset),demonstrate that MaskMix significantly improves the generalizability of change detectors,e.g.,ADCDNet,BIT,ChangeFormer,SNUNet,and DSAMNet.Moreover,compared with the existing image augmentation methods,such as MixUp,AugMix,MUM,and CropMix,MaskMix effectively increases the complexity and diversity of change images,enhancing the generalizability of existing change detection methods.

关键词

数据增强/图像增强/变化检测/掩码混合/图像混合

Key words

data augmentation/image augmentation/change detection/mask mixing/image mixing

分类

信息技术与安全科学

引用本文复制引用

邢艳,魏接达,汪若飞,黄睿..MaskMix:用于变化检测的掩码混合数据增强方法[J].计算机应用研究,2023,40(12):3834-3840,3847,8.

基金项目

中央高校基本科研业务费项目中国民航大学专项资助项目(3122022091) (3122022091)

中国民航大学科研启动项目(2017QD15X,2017QD17X) (2017QD15X,2017QD17X)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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