This repository provides the ResNet-101-based segmentation model trained on ISPRS dataset from the paper Scale Aware Adaptation for Land-Cover Classificationin Remote Sensing Imagery
(the provided weights achieve 47.66% mean IoU on the validation set for Potsdam to Vaihingen)
$ python train_scaleDA_isprs.py --folder DATA-ROOT
$ python test_isprs.py --resume CHECKPOINT
Please cite our paper:
@inproceedings{deng2021scale,
title={Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery},
author={Deng, Xueqing and Zhu, Yi and Tian, Yuxin and Newsam, Shawn},
booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
pages={2160--2169},
year={2021}
}