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Benchmark Analysis of Representative Deep Neural Network Architectures

Benchmark Analysis of Representative Deep Neural Network Architectures

1 October 2018
Simone Bianco
Rémi Cadène
Luigi Celona
Paolo Napoletano
    BDL
ArXivPDFHTML

Papers citing "Benchmark Analysis of Representative Deep Neural Network Architectures"

50 / 124 papers shown
Title
Learning strides in convolutional neural networks
Learning strides in convolutional neural networks
Rachid Riad
O. Teboul
David Grangier
Neil Zeghidour
36
41
0
03 Feb 2022
Homogenization of Existing Inertial-Based Datasets to Support Human
  Activity Recognition
Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition
H. Amrani
D. Micucci
M. Mobilio
Paolo Napoletano
20
2
0
17 Jan 2022
Implementation of a Binary Neural Network on a Passive Array of Magnetic
  Tunnel Junctions
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions
Jonathan M. Goodwill
N. Prasad
Brian D. Hoskins
M. Daniels
A. Madhavan
...
M. Tran
J. Katine
Patrick M. Braganca
M. D. Stiles
Jabez J. McClelland
36
10
0
16 Dec 2021
SoK: Vehicle Orientation Representations for Deep Rotation Estimation
SoK: Vehicle Orientation Representations for Deep Rotation Estimation
Huahong Tu
Siyuan Peng
Vladimir Leung
Richard Gao
3DPC
43
1
0
08 Dec 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human
  Activity Recognition
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition
Shuya Ding
Zhe Chen
Tianyue Zheng
Jun Luo
26
111
0
29 Oct 2021
Taming Visually Guided Sound Generation
Taming Visually Guided Sound Generation
Vladimir E. Iashin
Esa Rahtu
VLM
32
122
0
17 Oct 2021
Fire Together Wire Together: A Dynamic Pruning Approach with
  Self-Supervised Mask Prediction
Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction
Sara Elkerdawy
Mostafa Elhoushi
Hong Zhang
Nilanjan Ray
CVBM
31
38
0
15 Oct 2021
Compute and Energy Consumption Trends in Deep Learning Inference
Compute and Energy Consumption Trends in Deep Learning Inference
Radosvet Desislavov
Fernando Martínez-Plumed
José Hernández-Orallo
35
113
0
12 Sep 2021
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
Stephan Patrick Baller
Anshul Jindal
Mohak Chadha
Michael Gerndt
17
71
0
21 Aug 2021
EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing
  And Following
EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
N. Sanket
Chahat Deep Singh
Chethan Parameshwara
Cornelia Fermuller
Guido de Croon
Yiannis Aloimonos
10
13
0
29 Jun 2021
Perceptual Loss for Robust Unsupervised Homography Estimation
Perceptual Loss for Robust Unsupervised Homography Estimation
Daniel Koguciuk
Elahe Arani
Bahram Zonooz
26
28
0
20 Apr 2021
A Framework using Contrastive Learning for Classification with Noisy
  Labels
A Framework using Contrastive Learning for Classification with Noisy Labels
Madalina Ciortan
R. Dupuis
Thomas Peel
VLM
NoLa
21
12
0
19 Apr 2021
Towards Automatic Model Specialization for Edge Video Analytics
Towards Automatic Model Specialization for Edge Video Analytics
Daniel Rivas-Barragan
F. Guim
Jordà Polo
P. M. Silva
J. L. Berral
D. Carrera
11
10
0
14 Apr 2021
Coastline extraction from ALOS-2 satellite SAR images
Coastline extraction from ALOS-2 satellite SAR images
P. Hurtík
M. Vajgl
14
1
0
10 Apr 2021
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning
  Architectures
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
Sushant Singh
A. Mahmood
AI4TS
60
94
0
23 Mar 2021
Deep Sensing of Urban Waterlogging
Deep Sensing of Urban Waterlogging
S. Lo
Jyh-Horng Wu
Jo-Yu Chang
Chien-Hao Tseng
Meng-Wei Lin
Fang-Pang Lin
6
12
0
10 Mar 2021
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm
  Control
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Federico Venturini
Federico Mason
Francesco Pase
Federico Chiariotti
Alberto Testolin
Andrea Zanella
M. Zorzi
29
35
0
08 Mar 2021
Listening to the city, attentively: A Spatio-Temporal Attention Boosted
  Autoencoder for the Short-Term Flow Prediction Problem
Listening to the city, attentively: A Spatio-Temporal Attention Boosted Autoencoder for the Short-Term Flow Prediction Problem
Stefano Fiorini
Michele Ciavotta
A. Maurino
6
9
0
01 Mar 2021
PLAM: a Posit Logarithm-Approximate Multiplier
PLAM: a Posit Logarithm-Approximate Multiplier
Raul Murillo
Alberto A. Del Barrio
Guillermo Botella
Min Soo Kim
Hyunjin Kim
N. Bagherzadeh
TPM
29
25
0
18 Feb 2021
Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for
  UAV Fleet Missions
Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions
Aakash Khochare
Yogesh L. Simmhan
Francesco Betti Sorbelli
Sajal K. Das
34
25
0
06 Feb 2021
TinyML for Ubiquitous Edge AI
TinyML for Ubiquitous Edge AI
S. Soro
24
37
0
02 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
678
0
24 Jan 2021
Analysis of skin lesion images with deep learning
Analysis of skin lesion images with deep learning
Josef Steppan
S. Hanke
36
14
0
11 Jan 2021
LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs
LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs
David Mallasén Quintana
A. A. D. B. García
M. Prieto
12
6
0
12 Dec 2020
Analyzing the Performance of Smart Industry 4.0 Applications on Cloud
  Computing Systems
Analyzing the Performance of Smart Industry 4.0 Applications on Cloud Computing Systems
R. Hussain
A.R. Pakravan
M. Salehi
17
7
0
11 Dec 2020
Efficient Attention Network: Accelerate Attention by Searching Where to
  Plug
Efficient Attention Network: Accelerate Attention by Searching Where to Plug
Zhongzhan Huang
Senwei Liang
Mingfu Liang
Wei He
Haizhao Yang
16
12
0
28 Nov 2020
Similarity-Based Clustering for Enhancing Image Classification
  Architectures
Similarity-Based Clustering for Enhancing Image Classification Architectures
Dishant Parikh
6
1
0
03 Nov 2020
Resource-Aware Pareto-Optimal Automated Machine Learning Platform
Resource-Aware Pareto-Optimal Automated Machine Learning Platform
Yao Yang
Andrew Nam
M. Nasr-Azadani
Teresa Tung
16
6
0
30 Oct 2020
AutoPruning for Deep Neural Network with Dynamic Channel Masking
AutoPruning for Deep Neural Network with Dynamic Channel Masking
Baopu Li
Yanwen Fan
Zhihong Pan
Gang Zhang
44
1
0
22 Oct 2020
An explainable deep vision system for animal classification and
  detection in trail-camera images with automatic post-deployment retraining
An explainable deep vision system for animal classification and detection in trail-camera images with automatic post-deployment retraining
Golnaz Moallem
Don Pathirage
Joel Reznick
J. Gallagher
H. Sari-Sarraf
20
13
0
22 Oct 2020
Performance Prediction for Convolutional Neural Networks in Edge Devices
Performance Prediction for Convolutional Neural Networks in Edge Devices
Halima Bouzidi
Hamza Ouarnoughi
Smail Niar
A. A. E. Cadi
11
7
0
21 Oct 2020
Impact of Thermal Throttling on Long-Term Visual Inference in a
  CPU-based Edge Device
Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device
Théo Benoit-Cattin
Delia Velasco-Montero
Jorge Fernández-Berni
19
26
0
13 Oct 2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place
  Recognition in Changing Environments
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
Bruno Ferrarini
Michael Milford
Klaus D. McDonald-Maier
Shoaib Ehsan
MQ
25
23
0
01 Oct 2020
Compression of Deep Learning Models for Text: A Survey
Compression of Deep Learning Models for Text: A Survey
Manish Gupta
Puneet Agrawal
VLM
MedIm
AI4CE
22
115
0
12 Aug 2020
Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into
  Cognizance
Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance
N. Jha
Sparsh Mittal
27
16
0
06 Aug 2020
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell
  and Coronavirus Screening
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening
Sang Won Lee
Yueh-Ting Chiu
P. Brudnicki
Audrey M. Bischoff
A. Jelinek
Jenny Zijun Wang
Danielle R. Bogdanowicz
Andrew F. Laine
Jia Guo
Helen H. Lu
AI4CE
9
2
0
22 Jul 2020
Towards Dense People Detection with Deep Learning and Depth images
Towards Dense People Detection with Deep Learning and Depth images
D. Fuentes-Jiménez
Cristina Losada-Gutiérrez
D. Casillas-Pérez
Javier Macias-Guarasa
Roberto Martín-López
Daniel Pizarro-Perez
C. Luna
3DH
20
6
0
14 Jul 2020
Optimizing Prediction Serving on Low-Latency Serverless Dataflow
Optimizing Prediction Serving on Low-Latency Serverless Dataflow
Vikram Sreekanti
Harikaran Subbaraj
Chenggang Wu
Joseph E. Gonzalez
J. M. Hellerstein
28
21
0
11 Jul 2020
Generalization of Deep Convolutional Neural Networks -- A Case-study on
  Open-source Chest Radiographs
Generalization of Deep Convolutional Neural Networks -- A Case-study on Open-source Chest Radiographs
Nazanin Mashhaditafreshi
Amara Tariq
J. Gichoya
Imon Banerjee
OOD
AI4CE
17
1
0
11 Jul 2020
Exploration of Optimized Semantic Segmentation Architectures for
  edge-Deployment on Drones
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones
V. Parmar
Narayani Bhatia
Shubham Negi
Manan Suri
SSeg
17
9
0
06 Jul 2020
Low-Power Object Counting with Hierarchical Neural Networks
Low-Power Object Counting with Hierarchical Neural Networks
Abhinav Goel
Caleb Tung
Sarah Aghajanzadeh
Isha Ghodgaonkar
Shreya Ghosh
George K. Thiruvathukal
Yung-Hsiang Lu
11
9
0
02 Jul 2020
Robustifying the Deployment of tinyML Models for Autonomous
  mini-vehicles
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado
Manuele Rusci
Romain Donze
Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
30
39
0
01 Jul 2020
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via
  Geometry Constrained Keypoints in Real-Time
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time
Nils Gählert
Jun-Jun Wan
Nicolas Jourdan
Jan Finkbeiner
Uwe Franke
Joachim Denzler
3DPC
24
18
0
23 Jun 2020
Supervised dimensionality reduction by a Linear Discriminant Analysis on
  pre-trained CNN features
Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features
Francisco J. H. Heras
G. G. Polavieja
23
3
0
22 Jun 2020
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite
  Imagery Classification
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification
V. Syrris
O. Pešek
P. Soille
22
8
0
18 Jun 2020
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
N. Sanket
Chahat Deep Singh
Cornelia Fermuller
Yiannis Aloimonos
21
10
0
11 Jun 2020
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill
  Identification
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
Naoto Usuyama
N. Larios
Amanda K. Hall
Jessica Lundin
25
7
0
28 May 2020
Deep Learning for Automatic Pneumonia Detection
Deep Learning for Automatic Pneumonia Detection
Tatiana Gabruseva
D. Poplavskiy
Alexandr A Kalinin
24
102
0
28 May 2020
Comparison and Benchmarking of AI Models and Frameworks on Mobile
  Devices
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
Chunjie Luo
Xiwen He
Jianfeng Zhan
Lei Wang
Wanling Gao
Jiahui Dai
ELM
27
58
0
07 May 2020
Intra-model Variability in COVID-19 Classification Using Chest X-ray
  Images
Intra-model Variability in COVID-19 Classification Using Chest X-ray Images
Brian D. Goodwin
Corey Jaskolski
Can Zhong
Herick Asmani
OOD
42
28
0
30 Apr 2020
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