Efficient binary 3D convolutional neural network and hardware accelerator
暂无分享,去创建一个
Meng Zhang | Guoqing Li | Qianru Zhang | Zhijian Lin | Guoqing Li | Meng Zhang | Qianru Zhang | Zhijian Lin
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[3] Hichem Snoussi,et al. Using Gabor filter in 3D convolutional neural networks for human action recognition , 2017, 2017 36th Chinese Control Conference (CCC).
[4] Hao Yang,et al. Time-Asymmetric 3d Convolutional Neural Networks for Action Recognition , 2019, 2019 IEEE International Conference on Image Processing (ICIP).
[5] Cesar Torres-Huitzil,et al. A streaming architecture for Convolutional Neural Networks based on layer operations chaining , 2020, Journal of Real-Time Image Processing.
[6] Yoshua Bengio,et al. BinaryConnect: Training Deep Neural Networks with binary weights during propagations , 2015, NIPS.
[7] Zelong Wang,et al. Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA , 2018, FPGA.
[8] HAI WANG,et al. Enhanced Efficiency 3D Convolution Based on Optimal FPGA Accelerator , 2017, IEEE Access.
[9] Gwanggil Jeon,et al. Gradient information distillation network for real-time single-image super-resolution , 2021, Journal of Real-Time Image Processing.
[10] Wei Pan,et al. Towards Accurate Binary Convolutional Neural Network , 2017, NIPS.
[11] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Xuelong Li,et al. Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning , 2019, ArXiv.
[13] Kwang-Ting Cheng,et al. ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions , 2020, ECCV.
[14] Li Yang,et al. A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference , 2018, ISLPED.
[15] Ran El-Yaniv,et al. Binarized Neural Networks , 2016, NIPS.
[16] Ruizhi Chen,et al. FBNA: A Fully Binarized Neural Network Accelerator , 2018, 2018 28th International Conference on Field Programmable Logic and Applications (FPL).
[17] Xiaoyun Wang,et al. A dedicated hardware accelerator for real-time acceleration of YOLOv2 , 2020, Journal of Real-Time Image Processing.
[18] Wayne Luk,et al. FP-BNN: Binarized neural network on FPGA , 2018, Neurocomputing.
[19] Wayne Luk,et al. F-C3D: FPGA-based 3-dimensional convolutional neural network , 2017, 2017 27th International Conference on Field Programmable Logic and Applications (FPL).
[20] Leibo Liu,et al. Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns , 2017, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[21] Yu Cao,et al. Optimizing the Convolution Operation to Accelerate Deep Neural Networks on FPGA , 2018, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[22] Sergio Saponara,et al. A real-time video smoke detection algorithm based on Kalman filter and CNN , 2021 .
[23] Meng Zhang,et al. Recent Advances in Convolutional Neural Network Acceleration , 2018, Neurocomputing.
[24] Yong Dou,et al. A Uniform Architecture Design for Accelerating 2D and 3D CNNs on FPGAs , 2019, Electronics.
[25] Philip Heng Wai Leong,et al. FINN: A Framework for Fast, Scalable Binarized Neural Network Inference , 2016, FPGA.
[26] Kai Zhao,et al. Res2Net: A New Multi-Scale Backbone Architecture , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Majd Latah,et al. Human action recognition using support vector machines and 3D convolutional neural networks , 2017 .
[28] Meng Zhang,et al. Kernel Sharing in the Channel Dimension to Improve Parameters Efficiency , 2019, 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE).
[29] Ali Farhadi,et al. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks , 2016, ECCV.
[30] De Xu,et al. A novel hardware-oriented ultra-high-speed object detection algorithm based on convolutional neural network , 2019, Journal of Real-Time Image Processing.
[31] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[32] Rajesh Gupta,et al. Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs , 2017, FPGA.
[33] Hao Yu,et al. A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks , 2017, ACM J. Emerg. Technol. Comput. Syst..
[34] Feng Lv,et al. Efficient densely connected convolutional neural networks , 2021, Pattern Recognit..
[35] Xiaoyan Sun,et al. S-Net: A Lightweight Convolutional Neural Network for N-Dimensional Signals , 2018, 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).