ICASSP 2024accepted0 citations
Alpharotate: A Rotation Detection Benchmark Using Tensorflow
Xue Yang, Yue Zhou, Wenlong Liao, Tao He, Junchi Yan
Abstract
AlphaRotate is an open-source TensorFlow benchmark for performing scalable rotation detection on various datasets. It currently provides more than 16 popular rotation detection models under a single, well-documented API designed for use by both practitioners and researchers. AlphaRotate regards high performance, robustness, sustainability and scalability as the core concept of design, and all models are covered by continuous integration, code coverage, maintainability checks, and visual monitoring and analysis. AlphaRotate can be installed from PyPI and is released under the Apache-2.0 License. Source code is available at https://github.com/yangxue0827/RotationDetection.
BibTeX
@inproceedings{icassp2024_alpharotatearota,
title = {Alpharotate: A Rotation Detection Benchmark Using Tensorflow},
author = {Xue Yang and Yue Zhou and Wenlong Liao and Tao He and Junchi Yan},
booktitle = {ICASSP 2024},
year = {2024}
}