Optimize Deep Convolutional Neural Network with Ternarized Weights and
High Accuracy

Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018

20 July 2018

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Papers citing "Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy"

6 / 6 papers shown

Title
Ternarization of Vision Language Models for use on edge devices Ben Crulis Cyril de Runz Barthélémy Serres Gilles Venturini VLM 150 0 0 07 Apr 2025
Ternary Quantization: A Survey Danyang Liu Xue Liu MQ 127 5 0 02 Mar 2023
N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores Yu Gong Zhihang Xu Zhezhi He Weifeng Zhang Xiaobing Tu Xiaoyao Liang Li Jiang 140 18 0 15 Dec 2021
Towards End-to-End Neural Face Authentication in the Wild -- Quantifying and Compensating for Directional Lighting Effects Viktor Varkarakis Wang Yao Peter Corcoran CVBM 125 0 0 08 Apr 2021
A Federated Deep Learning Framework for Privacy Preservation and Communication EfficiencyJournal of systems architecture (JSA), 2020 Tien-Dung Cao Tram Truong-Huu H. Tran K. Tran FedML 156 29 0 22 Jan 2020
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 122 70 0 02 Oct 2018