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deconv-fta's Introduction

A Fast Transformation Algorithm for Deconvolution

It provides detailed transformation parameters of the paper, which proposes a fast transformation algorithm (FTA) to accelerate deconvolution computation for deep nerual networks, eg. Generative Adversarial Network, Fully Convolutional Networks.

Wendong Mao, Peixiang Yang and Zhongfeng Wang, "FTA-GAN: A Computation-Efficient Accelerator for GANs With Fast Transformation Algorithm" in IEEE Transactions on Neural Networks and Learning Systems: Regular Paper, 2021.

[Paper] | Detailed Parameters of FTA for various deconvolutions(/transposed convolutions) will be available soon.

Please consider citing our paper if you find it useful for your work.

Contact

Wendong Mao

[email protected]

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