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scale-aware_da
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# Scale Aware Adaptation for Land-Cover Classificationin Remote Sensing Imagery (in PyTorch) 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) ### Train the model ```bash $ python train_scaleDA_isprs.py --folder DATA-ROOT ``` ### Test the model ```bash $ 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} } ```
