Background-Mixed Augmentation for Weakly Supervised Change Detection

@article{Huang2022BackgroundMixedAF,
  title={Background-Mixed Augmentation for Weakly Supervised Change Detection},
  author={Rui Huang and Ruofei Wang and Qing Guo and Jieda Wei and Yuxiang Zhang and Wei Fan and Yang Liu},
  journal={ArXiv},
  year={2022},
  volume={abs/2211.11478}
}
Change detection (CD) is to decouple object changes ( i.e ., ob- ject missing or appearing) from background changes ( i.e ., environment variations) like light and season variations in two images captured in the same scene over a long time span, presenting critical applications in disaster management, ur- ban development, etc . In particular, the endless patterns of background changes require detectors to have a high gener- alization against unseen environment variations, making this task… 
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