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An Analysis of Deep Neural Network Models for Practical Applications

An Analysis of Deep Neural Network Models for Practical Applications

24 May 2016
A. Canziani
Adam Paszke
Eugenio Culurciello
ArXivPDFHTML

Papers citing "An Analysis of Deep Neural Network Models for Practical Applications"

9 / 9 papers shown
Title
Green Prompting
Green Prompting
Marta Adamska
Daria Smirnova
Hamid Nasiri
Zhengxin Yu
Peter Garraghan
384
1
0
09 Mar 2025
Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots
Linqi Ye
Rankun Li
Xiaowen Hu
Jiayi Li
Boyang Xing
Yan Peng
Bin Liang
80
0
0
07 Mar 2025
SoK: Dataset Copyright Auditing in Machine Learning Systems
SoK: Dataset Copyright Auditing in Machine Learning Systems
L. Du
Xuanru Zhou
M. Chen
Chusong Zhang
Zhou Su
Peng Cheng
Jiming Chen
Zhikun Zhang
MLAU
57
4
0
22 Oct 2024
A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition
A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition
Ali Ezati
Mohammadreza Dezyani
Rajib Rana
Roozbeh Rajabi
Ahmad Ayatollahi
CVBM
63
1
0
21 Mar 2024
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
Tobias Christian Nauen
Sebastián M. Palacio
Federico Raue
Andreas Dengel
71
4
0
18 Aug 2023
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Sung Une Lee
Boming Xia
Yongan Zhang
Ang Li
Yingyan Lin
GNN
84
48
0
22 Dec 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
Haoran You
Zhihan Lu
Zijian Zhou
Y. Fu
Yingyan Lin
GNN
70
31
0
01 Mar 2021
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Á. Martínez-González
M. Villamizar
Olivier Canévet
J. Odobez
3DH
118
27
0
30 Oct 2019
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
299
2,069
0
07 Jun 2016
1