A Survey of Methods for Low-Power Deep Learning and Computer Vision

A Survey of Methods for Low-Power Deep Learning and Computer Vision

24 March 2020

Yung-Hsiang Lu

George K. Thiruvathukal

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Papers citing "A Survey of Methods for Low-Power Deep Learning and Computer Vision"

14 / 14 papers shown

Title
SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Simon Malzard Nitish Mital Richard Walters Victoria Nockles Raghuveer Rao Celso M. De Melo 3DH 165 0 0 23 May 2025
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions Caleb Tung Nick Eliopoulos Purvish Jajal Gowri Ramshankar Chen-Yun Yang Nicholas Synovic Xuecen Zhang Vipin Chaudhary George K. Thiruvathukal Yu Lu 40 0 0 11 Oct 2023
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators Renbo Tu Colin White Jean Kossaifi Boris Bonev Nikola B. Kovachki Gennady Pekhimenko Kamyar Azizzadenesheli Anima Anandkumar 85 11 0 27 Jul 2023
DSD $^2$ : Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu Enzo Tartaglione 91 7 0 02 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 120 146 0 01 Mar 2023
Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen Martin Trapp Andrea Pilzer Le Yang Arno Solin BDL 129 16 0 13 Feb 2023
A Survey for Efficient Open Domain Question Answering Qin Zhang Shan Chen Dongkuan Xu Qingqing Cao Xiaojun Chen Trevor Cohn Meng Fang 90 36 0 15 Nov 2022
Efficient Adaptive Ensembling for Image Classification A. Bruno Davide Moroni M. Martinelli 67 18 0 15 Jun 2022
Flexible and Hierarchical Prior for Bayesian Nonnegative Matrix Factorization Jun Lu Xuanyu Ye 46 7 0 23 May 2022
Efficient visual object representation using a biologically plausible spike-latency code and winner-take-all inhibition Melani Sanchez-Garcia Tushar Chauhan Benoit R. Cottereau M. Beyeler 28 2 0 20 May 2022
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review Shashank Bangalore Lakshman Nasir U. Eisty 51 12 0 19 Apr 2022
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving Qiyu Wan Haojun Xia Xingyao Zhang Lening Wang Shuaiwen Leon Song Xin Fu OOD 68 9 0 07 Oct 2021
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding V. Kotariya U. Ganguly GAN 50 20 0 29 Jun 2021
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks Abhinav Goel Caleb Tung Xiao Hu Haobo Wang James C. Davis George K. Thiruvathukal Yung-Hsiang Lu BDL 47 7 0 19 Jun 2021

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