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Abstract
I. INTRODUCTION
II. RELATED WORK
III. PROPOSED METHOD
IV. EXPERIMENTAL RESULTS AND ANALYSES
V. CONCLUSION
REFERENCES
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, 2016, pp. 770-778.
V. Allken, N. O. Handegard, S. Rosen, T. Schreyeck, T. Mahiout, and K. Malde, “Fish species identification using a convolutional neural network trained on synthetic data,” ICES Journal of Marine Science, vol. 76, no. 1, pp. 342-349, 2018.
D. Rathi, S. Jain, and S. Indu, “Underwater fish species classification using convolutional neural network and deep learning,” in Proceedings of 2017 9th International Conference on Advances in Pattern Recognition (ICAPR), Bangalore, India, 2017, pp. 1-6.
M. M. Ghazi, B. Yanikoglu, and E. Aptoula, “Plant identification using deep neural networks via optimization of transfer learning parameters,” Neurocomputing, vol. 235, pp. 228-235, 2017.
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