Computer Vision for Earth Observation Applications


Modernized Training of U-Net for Aerial Semantic Segmentation
Jakub Straka,
Ivan Gruber
[pdf]
[bibtex]
@InProceedings{Straka_2024_WACV, author = {Straka, Jakub and Gruber, Ivan}, title = {Modernized Training of U-Net for Aerial Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2024}, pages = {776-784} }

GAST: Geometry-Aware Structure Transformer
Maxim Khomiakov,
Michael Riis Andersen,
Jes Frellsen
[pdf] [supp]
[bibtex]
@InProceedings{Khomiakov_2024_WACV, author = {Khomiakov, Maxim and Andersen, Michael Riis and Frellsen, Jes}, title = {GAST: Geometry-Aware Structure Transformer}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2024}, pages = {785-793} }

TinyWT: A Large-Scale Wind Turbine Dataset of Satellite Images for Tiny Object Detection
Mingye Zhu,
Zhicheng Yang,
Hang Zhou,
Chen Du,
Andy Wong,
Yibing Wei,
Zhuo Deng,
Mei Han,
Jui-Hsin Lai
[pdf] [supp]
[bibtex]
@InProceedings{Zhu_2024_WACV, author = {Zhu, Mingye and Yang, Zhicheng and Zhou, Hang and Du, Chen and Wong, Andy and Wei, Yibing and Deng, Zhuo and Han, Mei and Lai, Jui-Hsin}, title = {TinyWT: A Large-Scale Wind Turbine Dataset of Satellite Images for Tiny Object Detection}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2024}, pages = {794-804} }

CNet: A Novel Seabed Coral Reef Image Segmentation Approach Based on Deep Learning
Hanqi Zhang,
Ming Li,
Jiageng Zhong,
Jiangying Qin
[pdf]
[bibtex]
@InProceedings{Zhang_2024_WACV, author = {Zhang, Hanqi and Li, Ming and Zhong, Jiageng and Qin, Jiangying}, title = {CNet: A Novel Seabed Coral Reef Image Segmentation Approach Based on Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2024}, pages = {767-775} }