Bengali Place Name Recognition - Comparative Analysis Using Different CNN Architectures

Author:

Prasad Prashant Kumar,Banerjee Pamela,Chanda Sukalpa,Pal Umapada

Publisher

Springer Singapore

Reference20 articles.

1. Poznanski, A., Wolf, L.: CNN-N-gram for handwriting word recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2305–2314 (2016)

2. Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556 (2014). http://arxiv.org/abs/1409.1556

3. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. CoRR, abs/1512.03385 (2015). http://arxiv.org/abs/1512.03385

4. Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. CoRR, abs/1512.00567 (2015). http://arxiv.org/abs/1512.00567

5. Chollet, F.: Xception: Deep learning with depthwise separable convolutions. CoRR, abs/1610.02357 (2016). http://arxiv.org/abs/1610.02357

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