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AI Benchmark: Running Deep Neural Networks on Android Smartphones

AI Benchmark: Running Deep Neural Networks on Android Smartphones

2 October 2018
Andrey D. Ignatov
Radu Timofte
William Chou
Ke Wang
Max Wu
Tim Hartley
Luc Van Gool
    ELM
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Papers citing "AI Benchmark: Running Deep Neural Networks on Android Smartphones"

40 / 40 papers shown
Title
Benchmarking Edge AI Platforms for High-Performance ML Inference
Benchmarking Edge AI Platforms for High-Performance ML Inference
Rakshith Jayanth
Neelesh Gupta
Viktor Prasanna
BDL
30
1
0
23 Sep 2024
Privacy-Preserving Cooperative Visible Light Positioning for
  Nonstationary Environment: A Federated Learning Perspective
Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective
Tiankuo Wei
Sicong Liu
18
1
0
11 Mar 2023
Lightweight and Flexible Deep Equilibrium Learning for CSI Feedback in
  FDD Massive MIMO
Lightweight and Flexible Deep Equilibrium Learning for CSI Feedback in FDD Massive MIMO
Yifan Ma
Wentao Yu
Xianghao Yu
Jun Zhang
Shenghui Song
Khaled B. Letaief
17
2
0
28 Nov 2022
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for
  the Metaverse
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
Hyoukjun Kwon
Krishnakumar Nair
Jamin Seo
Jason Yik
D. Mohapatra
...
Ashish Sirasao
T. Krishna
Harshit Khaitan
Vikas Chandra
Vijay Janapa Reddi
40
33
0
16 Nov 2022
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022
  challenge: Report
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Jin Zhang
Feng Zhang
G. Yu
...
Mingyang Qian
Huixin Ma
Yanan Li
Xiaotao Wang
Lei Lei
15
10
0
07 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs,
  Mobile AI & AIM 2022 challenge: Report
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Maurizio Denna
Abdelbadie Younes
Ganzorig Gankhuyag
...
Jing Liu
Garas Gendy
Nabil Sabor
J. Hou
Guanghui He
SupR
MQ
23
31
0
07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI &
  AIM 2022 Challenge: Report
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Lukasz Treszczotko
Xin-ke Chang
...
Dongwon Park
Seongmin Hong
Joonhee Lee
Seunggyu Lee
Sengsub Chun
36
17
0
07 Nov 2022
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI &
  AIM 2022 Challenge: Report
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Radu Timofte
Shuai Liu
Chaoyu Feng
Furui Bai
...
Xin Lou
Wei Zhou
Cong Pang
Haina Qin
Mingxuan Cai
27
24
0
07 Nov 2022
Fast Nearest Convolution for Real-Time Efficient Image Super-Resolution
Fast Nearest Convolution for Real-Time Efficient Image Super-Resolution
Ziwei Luo
Youwei Li
Lei Yu
Qi Wu
Zhihong Wen
Haoqiang Fan
Shuaicheng Liu
SupR
18
14
0
24 Aug 2022
Sliding Window Recurrent Network for Efficient Video Super-Resolution
Sliding Window Recurrent Network for Efficient Video Super-Resolution
Wenyi Lian
W. Lian
SupR
30
10
0
24 Aug 2022
Model-based Deep Learning Receiver Design for Rate-Splitting Multiple
  Access
Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Access
Rafael Cerna Loli
Onur Dizdar
B. Clerckx
Cong Ling
26
18
0
02 May 2022
Benchmarking of DL Libraries and Models on Mobile Devices
Benchmarking of DL Libraries and Models on Mobile Devices
Qiyang Zhang
Xiang Li
Xiangying Che
Xiao Ma
Ao Zhou
Mengwei Xu
Shangguang Wang
Yun Ma
Xuanzhe Liu
25
48
0
14 Feb 2022
Design and Experimental Evaluation of Algorithms for Optimizing the
  Throughput of Dispersed Computing
Design and Experimental Evaluation of Algorithms for Optimizing the Throughput of Dispersed Computing
Xiangchen Zhao
Diyi Hu
Bhaskar Krishnamachari
21
2
0
27 Dec 2021
Efficient Softmax Approximation for Deep Neural Networks with Attention
  Mechanism
Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism
Ihor Vasyltsov
Wooseok Chang
33
12
0
21 Nov 2021
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on
  Smartphone Environment
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment
I. Prakash
Aniruddh Bansal
Rohit Verma
R. Shorey
27
8
0
01 Nov 2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones,
  Mobile AI 2021 Challenge: Report
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Sheng Chen
Xin Xia
...
K. Lyda
L. Khojoyan
Abhishek Thanki
Sayak Paul
Shahid Siddiqui
MQ
21
20
0
17 May 2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI
  2021 Challenge: Report
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Kim Byeoung-su
Radu Timofte
Angeline Pouget
Fenglong Song
...
Lei Lei
Chaoyu Feng
L. Huang
Z. Lei
Feifei Chen
25
30
0
17 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
27
46
0
17 May 2021
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 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
13
25
0
13 Oct 2020
AIPerf: Automated machine learning as an AI-HPC benchmark
AIPerf: Automated machine learning as an AI-HPC benchmark
Zhixiang Ren
Yongheng Liu
Tianhui Shi
Lei Xie
Yue Zhou
Jidong Zhai
Youhui Zhang
Yunquan Zhang
Wenguang Chen
27
22
0
17 Aug 2020
Controlling Information Capacity of Binary Neural Network
Controlling Information Capacity of Binary Neural Network
D. Ignatov
Andrey D. Ignatov
MQ
33
21
0
04 Aug 2020
Automatic heterogeneous quantization of deep neural networks for
  low-latency inference on the edge for particle detectors
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
C. Coelho
Aki Kuusela
Shane Li
Zhuang Hao
T. Aarrestad
Vladimir Loncar
J. Ngadiuba
M. Pierini
Adrian Alan Pol
S. Summers
MQ
32
175
0
15 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon
  Large-Scale Smartphone Data
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
Chengxu Yang
Qipeng Wang
Mengwei Xu
Shangguang Wang
Kaigui Bian
Yunxin Liu
Xuanzhe Liu
24
22
0
12 Jun 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
24
58
0
07 May 2020
Deep Neural Network for Respiratory Sound Classification in Wearable
  Devices Enabled by Patient Specific Model Tuning
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
Jyotibdha Acharya
A. Basu
19
157
0
16 Apr 2020
Towards Unconstrained Palmprint Recognition on Consumer Devices: a
  Literature Review
Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review
Adrian-Stefan Ungureanu
S. Salahuddin
Peter Corcoran
31
31
0
02 Mar 2020
Learned Threshold Pruning
Learned Threshold Pruning
K. Azarian
Yash Bhalgat
Jinwon Lee
Tijmen Blankevoort
MQ
28
38
0
28 Feb 2020
Bit Allocation for Multi-Task Collaborative Intelligence
Bit Allocation for Multi-Task Collaborative Intelligence
Saeed Ranjbar Alvar
Ivan V. Bajić
16
25
0
14 Feb 2020
Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms
  for Cardiac Arrhythmia Detection
Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection
Antonino Faraone
R. Delgado-Gonzalo
19
24
0
08 Jan 2020
Compressing Representations for Embedded Deep Learning
Compressing Representations for Embedded Deep Learning
Juliano S. Assine
Alan Godoy
Eduardo Valle
15
3
0
23 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
28
141
0
02 Nov 2019
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
A. Yaguchi
Taiji Suzuki
Shuhei Nitta
Y. Sakata
A. Tanizawa
19
9
0
29 Oct 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey D. Ignatov
Radu Timofte
Andrei Kulik
Seungsoo Yang
Ke Wang
Felix Baum
Max Wu
Lirong Xu
Luc Van Gool
ELM
21
218
0
15 Oct 2019
Structured Binary Neural Networks for Image Recognition
Structured Binary Neural Networks for Image Recognition
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Peng Chen
Lingqiao Liu
Ian Reid
MQ
22
17
0
22 Sep 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
29
44
0
10 Aug 2019
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for
  high-speed visual classification
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
A. Linares-Barranco
A. Rios-Navarro
Ricardo Tapiador-Morales
T. Delbruck
25
19
0
17 May 2019
Same, Same But Different - Recovering Neural Network Quantization Error
  Through Weight Factorization
Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization
Eldad Meller
Alexander Finkelstein
Uri Almog
Mark Grobman
MQ
21
85
0
05 Feb 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
22
547
0
21 Dec 2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey D. Ignatov
Radu Timofte
Thang Vu
Tung M. Luu
T. Pham
...
T. Nimisha
Praveen Kandula
A. N. Rajagopalan
Jie Liu
Cheolkon Jung
SupR
21
134
0
03 Oct 2018
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