Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs

6 March 2019

Papers citing "Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs"

7 / 7 papers shown

Title
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks Amir Yazdanbakhsh Hajar Falahati Philip J. Wolfe K. Samadi Nam Sung Kim H. Esmaeilzadeh 78 73 0 10 May 2018
GP-GAN: Towards Realistic High-Resolution Image Blending Huikai Wu Shuai Zheng Junge Zhang Kaiqi Huang GAN 58 257 0 21 Mar 2017
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 308 1,953 0 24 Oct 2016
Accelerating the Super-Resolution Convolutional Neural Network Chao Dong Chen Change Loy Xiaoou Tang SupR 127 2,983 0 01 Aug 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 221 8,688 0 15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,862 0 20 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 256 14,012 0 19 Nov 2015