Tactics to Directly Map CNN graphs on Embedded FPGAs, IEEE Embedded Systems Letters, pp.1-4, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01626462
Deep Learning with Limited Numerical Precision, Proceedings of the International Conference on Machine Learning-ICML '15, pp.1737-1746, 2015. ,
Deep Residual Learning for Image Recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition-CVPR '16, pp.770-778, 2016. ,
Ran El-Yaniv, and Yoshua Bengio, Advances in Neural Information Processing Systems-NIPS'16, pp.4107-4115, 2016. ,
A Comparative Review and Evaluation of Approximate Adders, Proceedings of the Edition on Great Lakes Symposium on VLSI-GLSVLSI '15, pp.343-348, 2015. ,
ImageNet Classification with Deep Convolutional Neural Networks, Advances in Neural Information Processing Systems-NIPS'12. 1â??9, 2012. ,
Fully Convolutional Networks for Semantic Segmentation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition-CVPR '15, pp.3431-3440, 2015. ,
ALAMO: FPGA acceleration of deep learning algorithms with a modularized RTL compiler, Integration, issue.1, 2018. ,
Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications, IEEE Transactions on Circuits and Systems I: Regular Papers, vol.57, pp.850-862, 2010. ,
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks, Proceedings of the ACM/SIGDA International Symposium on Field-Programmable Gate Arrays-FPGA '17, pp.5-14, 2017. ,
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network, Proceedings of the ACM/SIGDA International Symposium on Field-Programmable Gate Arrays-FPGA '16, pp.26-35, 2016. ,
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks, Proceedings of the European Conference on Computer Vision-ECCV'16, 2016. ,
YOLOv3: An Incremental Improvement, 2018. ,
Multiplierless multiple constant multiplication, ACM Transactions on Algorithms, vol.3, p.11, 2007. ,
Quantized Convolutional Neural Networks for Mobile Devices, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition-CVPR '16, pp.4820-4828, 2016. ,
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks, Proceedings of the ACM/SIGDA International Symposium on FieldProgrammable Gate Arrays-FPGA '15 (FPGA, pp.161-170, 2015. ,