Performance Evaluation of Deep Learning Models for Ship Detection-Reference-Cited by-同舟云学术

Performance Evaluation of Deep Learning Models for Ship Detection

Published:2022 Issue: Volume: Page:273-287
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Sharma Rahul,Sharma Harshit,Meena Tamanna,Khandnor Padmavati,Bansal Palak,Sharma Paras

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-11349-9_24

Reference55 articles.

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2. European Space Agency: SPOT. https://earth.esa.int/eogateway/missions/spot. Last accessed 29 June 2021

3. Chen, Y., Zheng, J., Zhou, Z.: Airbus Ship Detection-Traditional vs Convolutional Neural Network Approach (n.d.)

4. Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Adv. Neural. Inf. Process. Syst. 25, 1097–1105 (2012)

5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)

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