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RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images

Research article (2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI), 2021) · cited 25× · AI/ML
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RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images

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RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images is a scholarly article[1].

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  • RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images. Retrieved May 24, 2026, from https://4ort.xyz/entity/retinanet-a-deep-learning-architecture-to-achieve-a-robust-wake-detector-in-sar-images
MLA “RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retinanet-a-deep-learning-architecture-to-achieve-a-robust-wake-detector-in-sar-images.
BibTeX @misc{4ortxyz_retinanet-a-deep-learning-architecture-to-achieve-a-robust-wake-detector-in-sar-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RetinaNet: A deep learning architecture to achieve a robust wake detector in SAR images}}, year = {2026}, url = {https://4ort.xyz/entity/retinanet-a-deep-learning-architecture-to-achieve-a-robust-wake-detector-in-sar-images}, note = {Accessed: 2026-05-24}}
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