Automated Seed Quality Testing System Using GAN and Active Learning

Author:

Nagar Sandeep,Pani Prateek,Nair Raj,Varma Girish

Publisher

Springer International Publishing

Reference16 articles.

1. Kirsch, A., Amersfoort, J. Van., Gal, Y.: BatchBALD: efficient and diverse batch acquisition for deep bayesian active learning. In: 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada (2019)

2. Houlsby, N., Huszár, F., Ghahramani, Z., Lengyel, M.: Bayesian active learning for classification and preference learning (2011)

3. Mavridou, E., Vrochidou, E., Papakostas, G.A., Pachidis, T., Kaburlasos, V.G.: Machine vision systems in precision agriculture for crop farming. J. Imaging 5(12), 89 (2019)

4. Cireşan, D. C., Meier, U., Masci, J., Gambardella, L. M., Schmidhuber, J.: High-performance neural networks for visual object classification (2011). https://arxiv.org/abs/1102.0183v1

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

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