A small attentional YOLO model for landslide detection from satellite remote sensing images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s10346-021-01694-6.pdf
Reference45 articles.
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2. Bochkovskiy A, Wang CY, Liao HYM (2020) YOLOv4: optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934
3. Cao Y, Xu J, Lin S, Wei F, Hu H (2019) GCNet: non-local networks meet squeeze-excitation networks and beyond. arXiv preprint arXiv:1904.11492
4. Cheng G, Guo L, Zhao T, Han J, Li H, Fang J (2013) Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA. Int J Remote Sens 34:45–59. https://doi.org/10.1080/01431161.2012.705443
5. Cheng G, Li R, Lang C, Han J (2021) Task-wise attention guided part complementary learning for few-shot image classification. Sci China Inform Sci 64:120104
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