AI Benchmark: All About Deep Learning on Smartphones in 2019

15 October 2019

Radu Timofte

Luc Van Gool

Papers citing "AI Benchmark: All About Deep Learning on Smartphones in 2019"

43 / 43 papers shown

Title
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 33 0 0 24 May 2024
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning Ahmad Faiz S. Attari Gayle Buck Fan Chen Lei Jiang 31 0 0 16 Mar 2024
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment Jing Wu Lin Wang Qirui Jin Fangming Liu 33 11 0 17 Dec 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang Lei Gao Sunwoo Lee Mi Zhang Salman Avestimehr FedML 31 28 0 14 Apr 2023
Decentralized Learning Made Practical with Client Sampling M. Vos Akash Dhasade Anne-Marie Kermarrec Erick Lavoie J. Pouwelse Rishi Sharma 29 1 0 27 Feb 2023
Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms G. D. Samaraweera Hung Nguyen Hadi Zanddizari Behnam Zeinali Jerome Chang 22 0 0 01 Feb 2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs Huaizheng Zhang Yuanming Li Wencong Xiao Yizheng Huang Xing Di Jianxiong Yin Simon See Yong Luo C. Lau Yang You VLM 16 3 0 01 Jan 2023
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution Stylianos I. Venieris Mario Almeida Royson Lee Nicholas D. Lane SupR 23 4 0 15 Dec 2022
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 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 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 Andrey D. Ignatov Radu Timofte Shuai Liu Chaoyu Feng Furui Bai ... Xin Lou Wei Zhou Cong Pang Haina Qin Mingxuan Cai 27 23 0 07 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 34 115 0 03 Nov 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 29 11 0 19 Sep 2022
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 Wenyi Lian W. Lian SupR 30 10 0 24 Aug 2022
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
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search Bingqian Lu Jianyi Yang Weiwen Jiang Yiyu Shi Shaolei Ren 21 24 0 01 Nov 2021
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning Yanli Liu Bochen Guan Qinwen Xu Weiyi Li Shuxue Quan 30 2 0 21 Oct 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra L. Dudziak Ilias Leontiadis Nicholas D. Lane HAI 112 44 0 28 Sep 2021
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices Stylianos I. Venieris Ioannis Panopoulos I. Venieris 42 14 0 08 Jun 2021
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices Mustafa Ayazoglu 8 56 0 21 May 2021
Anchor-based Plain Net for Mobile Image Super-Resolution Zongcai Du Jie Liu Jie Tang Gangshan Wu SupR MQ 30 52 0 20 May 2021
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 Andrey D. Ignatov Kim Byeoung-su Radu Timofte Angeline Pouget Fenglong Song ... Lei Lei Chaoyu Feng L. Huang Z. Lei Feifei Chen 22 30 0 17 May 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 17 36 0 20 Apr 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 189 268 0 26 Feb 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 65 29 0 02 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 147 674 0 24 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 27 68 0 08 Jan 2021
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions Royson Lee Stylianos I. Venieris Nicholas D. Lane 27 7 0 12 Oct 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud Stefanos Laskaridis Stylianos I. Venieris Mario Almeida Ilias Leontiadis Nicholas D. Lane 28 265 0 14 Aug 2020
Controlling Information Capacity of Binary Neural Network D. Ignatov Andrey D. Ignatov MQ 28 21 0 04 Aug 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 59 81 0 02 Jul 2020
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation Fabricio A. Breve C. Fischer 6 5 0 09 May 2020
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices Chunjie Luo Xiwen He Jianfeng Zhan Lei Wang Wanling Gao Jiahui Dai ELM 19 58 0 07 May 2020
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency Cheng-Ming Chiang Yu-Wen Tseng Yu-Syuan Xu Hsien-Kai Kuo Yi-Min Tsai ... Chia-Lin Yu B. Shen Kloze Kao Chia-Ming Cheng Hung-Jen Chen 35 22 0 27 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 46 1,928 0 11 Apr 2020
Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review Adrian-Stefan Ungureanu S. Salahuddin Peter Corcoran 26 31 0 02 Mar 2020
MLPerf Inference Benchmark Vijayarāghava Reḍḍī C. Cheng David Kanter Pete H Mattson Guenther Schmuelling ... Bing Yu George Y. Yuan Aaron Zhong P. Zhang Yuchen Zhou 22 487 0 06 Nov 2019
Synthetic Depth-of-Field with a Single-Camera Mobile Phone Neal Wadhwa Rahul Garg David E. Jacobs Bryan E. Feldman Nori Kanazawa Robert E. Carroll Yair Movshovitz-Attias Jonathan T. Barron Yael Pritch M. Levoy 3DH MDE 190 176 0 11 Jun 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 248 2,550 0 25 Jan 2016