Fast fourier transform based new pooling layer for deep learning

Farabet, C., Couprie, C., Najman, L. and LeCun, Y. 2013. Learning hierarchical features for scene labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(8): 1915–1929. Farabet C. Couprie C. Najman L. LeCun Y. 2013 Learning hierarchical features for scene labeling IEEE Transactions on Pattern Analysis and Machine Intelligence 35(8): 1915 1929 10.1109/TPAMI.2012.23123787344 Search in Google Scholar

Hamad alhussainy, A. M. and Jasim, A. D. 2020. A novel pooling layer based on gaussian function with wavelet transform. Indonesian Journal of Electrical Engineering and Computer Science 20(3): 1289–1298. Hamad alhussainy A. M. Jasim A. D. 2020 A novel pooling layer based on gaussian function with wavelet transform Indonesian Journal of Electrical Engineering and Computer Science 20(3): 1289 1298 10.11591/ijeecs.v20.i3.pp1289-1298 Search in Google Scholar

Kaushik, M., Gupta, S. H. and Balyan, V. 2019. Evaluating threshold distance by using eigen values and analyzing its impact on the performance of WBAN. 2019 6th International Conference on Signal Processing and Integrated. Kaushik M. Gupta S. H. Balyan V. 2019 Evaluating threshold distance by using eigen values and analyzing its impact on the performance of WBAN. 2019 6th International Conference on Signal Processing and Integrated 10.1109/SPIN.2019.8711666 Search in Google Scholar

Kobayashi, T.2019. Global feature guided local pooling. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), pp. 3365–3374. Kobayashi T. 2019 Global feature guided local pooling. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South) pp. 3365 3374 Search in Google Scholar

Krizhevsky, A. and Hinton, G. E. 2017. Using very deep autoencoders for content-based image retrieval. ESANN, Belgium, pp. 1–7. Krizhevsky A. Hinton G. E. 2017 Using very deep autoencoders for content-based image retrieval ESANN Belgium pp. 1 7 Search in Google Scholar

Lee, C.-Y., Gallagher, P. W. and Tu, Z. 2016. Generalizing pooling functions in convolutional neural networks: Mixed, gated, and tree. In AISTATS 51(17): 464–472. Lee C.-Y. Gallagher P. W. Tu Z. 2016 Generalizing pooling functions in convolutional neural networks: Mixed, gated, and tree In AISTATS 51 (17) 464 472 Search in Google Scholar

Ren, S., He, K., Girshick, R. and Sun, J. 2017. Faster RCNN: towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 39(6): 1137–1149. Ren S. He K. Girshick R. Sun J. 2017 Faster RCNN: towards real-time object detection with region proposal networks IEEE Transactions on Pattern Analysis and Machine Intelligence 39(6): 1137 1149 10.1109/TPAMI.2016.257703127295650 Search in Google Scholar

Saeedan, F., Weber, N., Goesele, M. and Roth, S.2018. Detail-preserving pooling in deep networks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pp. 9108–9116. Saeedan F. Weber N. Goesele M. Roth S. 2018 Detail-preserving pooling in deep networks. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT pp. 9108 9116 Search in Google Scholar

Taigman, Y., Yang, M., Ranzato, M. and Wolf, L. 2017. DeepFace: closing the gap to human-level performance in face verification. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, pp. 1701–1708. Taigman Y. Yang M. Ranzato M. Wolf L. 2017 DeepFace: closing the gap to human-level performance in face verification. IEEE Conference on Computer Vision and Pattern Recognition, Columbus pp. 1701 1708 Search in Google Scholar

Ulicny, M., Krylov, V. A. and Dahyot, R. 2020. Harmonic convolutional networks based on discrete cosine transform. arXiv:2001.06570v1. Ulicny M. Krylov V. A. Dahyot R. 2020 Harmonic convolutional networks based on discrete cosine transform arXiv:2001.06570v1 Search in Google Scholar

Vinyals, O., Toshev, A., Bengio, S. and Erhan, D. 2015. Show and tell: a neural image caption generator. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3156–3164. Vinyals O. Toshev A. Bengio S. Erhan D. 2015 Show and tell: a neural image caption generator. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 3156 3164 Search in Google Scholar

Williams, T. and Li, R. 2016. Advanced image classification using wavelets and convolutional neural networks. 15th IEEE International Conference on Machine Learning and Applications, pp. 233–239. Williams T. Li R 2016 Advanced image classification using wavelets and convolutional neural networks. 15th IEEE International Conference on Machine Learning and Applications pp. 233 239 Search in Google Scholar

Xioayi, Z., Xiangmin, X., Chunmei, Q. and Xiaofen, X. 2014. High speed deep networks based on discrete cosine transformation. Image Processing (ICIP), 2014 IEEE International Conference on image processing, pp. 5921–5925. Xioayi Z. Xiangmin X. Chunmei Q. Xiaofen X. 2014 High speed deep networks based on discrete cosine transformation. Image Processing (ICIP), 2014 IEEE International Conference on image processing pp. 5921 5925 Search in Google Scholar

Xu, Y. and Hideki, N.2019. DCT Based Information-Preserving Pooling for Deep Neural Networks. (ICIP), Taipei, Taiwan. Xu Y. Hideki N. 2019 DCT Based Information-Preserving Pooling for Deep Neural Networks. (ICIP), Taipei Taiwan 10.1109/ICIP.2019.8802962 Search in Google Scholar

Yaroslavsky, L. P. 2014. Fast Transforms in Image Processing: Compression, Restoration, and Resampling, Hindawi Publishing Corporation Advances in Electrical Engineering Volume. Yaroslavsky L. P. 2014 Fast Transforms in Image Processing: Compression, Restoration, and Resampling, Hindawi Publishing Corporation Advances in Electrical Engineering Volume 10.1155/2014/276241 Search in Google Scholar

Zeiler, M. and Fergus, R. 2013. Stochastic pooling for regularization of deep convolutional neural Networks. In ICLR. Zeiler M. Fergus R. 2013 Stochastic pooling for regularization of deep convolutional neural Networks. In ICLR Search in Google Scholar