Fine-Grained Object Recognition Using a Combination Model of Navigator–Teacher–Scrutinizer and Spinal Networks

Author:

Nurhasanah ,Yulianto ,Kusuma Gede Putra

Publisher

Pleiades Publishing Ltd

Subject

Computer Vision and Pattern Recognition

Reference27 articles.

1. P. Chopra, “ProgressiveSpinalNet architecture for FC layers,” (2021). arXiv:2103.11373 [cs.LG]

2. A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, J. Uszkoreit, N. Houlsby, “An image is worth 16x16 words: Transformers for image recognition at scale,” (2020). arXiv:2010.11929 [cs.CV]

3. W. Geng, F. Han, J. Lin, L. Zhu, J. Bai, S. Wang, L. He, Q. Xiao, and Zh. Lai, “Fine-grained grocery product recognition by one-shot learning,” in MM ’18: Proc. 26th ACM Int. Conf. on Multimedia, Seoul, 2018 (Association for Computing Machinery, New York, 2018), Vol. 2, pp. 1706–1714. https://doi.org/10.1145/3240508.3240522

4. Gerry, “285 Bird Species - Classification,” (2019). https://www.kaggle.com/gpiosenka/100-bird-species.

5. Foreword;T. Gevers,2016

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