When SAM Meets Sonar Images

G. Zheng, H. Zhang, Y. Li, J. Zhao, A universal automatic bottom tracking method of side scan sonar data based on semantic segmentation, Remote Sensing 13 (10) (2021) 1945

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O. Ronneberger, P. Fischer, T. Brox, U-net: Convolutional networks for biomedical image segmentation, in: Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer, 2015, pp. 234–241

2015

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J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 3431–3440

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V. Badrinarayanan, A. Kendall, R. Cipolla, Segnet: A deep convolutional encoder-decoder architecture for image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 39 (12) (2017) 2481–2495

2017

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Y. Song, Y. Zhu, G. Li, C. Feng, B. He, T. Yan, Side scan sonar segmentation using deep convolutional neural network, in: OCEANS 2017 - Anchorage, 2017, pp. 1–4

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L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, H. Adam, Encoder-decoder with atrous separable convolution for semantic image segmentation, in: Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 801–818

2018

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M. Rahnemoonfar, D. Dobbs, Semantic segmentation of underwater sonar imagery with deep learning, in: IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, IEEE, 2019, pp. 9455–9458

2019

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A. Myronenko, 3d mri brain tumor segmentation using autoencoder regularization, in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II 4, Springer, 2019, pp. 311–320

D. Singh, M. Valdenegro-Toro, The marine debris dataset for forward-looking sonar semantic segmentation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) OceanVision Workshop, 2021, pp. 3741–3749

2021

Later among the works it cites.

Y. Steiniger, D. Kraus, T. Meisen, Survey on deep learning based computer vision for sonar imagery, Engineering Applications of Artificial Intelligence 114 (2022) 105157

2022

Later among the works it cites.

M. Jia, L. Tang, B.-C. Chen, C. Cardie, S. Belongie, B. Hariharan, S.-N. Lim, Visual prompt tuning, in: European Conference on Computer Vision (ECCV), 2022

2022

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J. Zhang, X. Chen, Z. Qiu, M. Yang, Y. Hu, J. Liu, Hard exudate segmentation supplemented by super-resolution with multi-scale attention fusion module, in: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 2022, pp. 1375–1380

2022

Later among the works it cites.