Visual Wake Words Dataset

12 June 2019

Papers citing "Visual Wake Words Dataset"

50 / 52 papers shown

Title
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs Muhammad Sabih Abrarul Karim Jakob Wittmann Frank Hannig J. Teich 73 0 0 28 Apr 2025
MicroFlow: An Efficient Rust-Based Inference Engine for TinyML Matteo Carnelos Francesco Pasti Nicola Bellotto 18 1 0 28 Sep 2024
Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations Giorgos Armeniakos Alexis Maras S. Xydis Dimitrios Soudris MQ 21 3 0 19 Jul 2024
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers M. Deutel Frank Hannig Christopher Mutschler Jürgen Teich MQ 25 0 0 15 Jul 2024
TinySV: Speaker Verification in TinyML with On-device Learning Massimo Pavan Gioele Mombelli Francesco Sinacori Manuel Roveri 43 2 0 03 Jun 2024
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization M. Apolinario Arani Roy Kaushik Roy 35 2 0 24 May 2024
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection Colby R. Banbury Emil Njor Matthew P. Stewart Pete Warden M. Kudlur Nat Jeffries Xenofon Fafoutis Vijay Janapa Reddi VLM 42 0 0 01 May 2024
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case Fatemeh Dehrouyeh Li Yang F. Badrkhani Ajaei Abdallah Shami 25 6 0 25 Apr 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning Lixiang Han Zhen Xiao Zhenjiang Li 41 5 0 17 Jan 2024
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint Ael Quélennec Enzo Tartaglione Pavlo Mozharovskyi Van-Tam Nguyen 26 2 0 08 Dec 2023
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices Alessio Burrello Matteo Risso Beatrice Alessandra Motetti Enrico Macii Luca Benini Daniele Jahier Pagliari 23 8 0 11 Oct 2023
Audio Tagging on an Embedded Hardware Platform Gabriel Bibbó Arshdeep Singh Mark D. Plumbley 11 0 0 15 Jun 2023
Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing Matthew P. Stewart Pete Warden Yasmine Omri Shvetank Prakash Joao Santos ... Jim MacArthur Nat Jeffries Sachin Katti Brian Plancher Vijay Janapa Reddi 22 1 0 15 Jun 2023
RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge Adithya Krishna Srikanth Rohit Nudurupati Chandana D G Pritesh Dwivedi André van Schaik M. Mehendale Chetan Singh Thakur 22 11 0 10 Jun 2023
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing Hadjer Benmeziane C. Lammie I. Boybat M. Rasch M. Le Gallo ... Smail Niar Hamza Ouarnoughi V. Narayanan A. Sebastian K. E. Maghraoui 27 7 0 17 May 2023
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution Edgar Liberis Nicholas D. Lane 13 3 0 30 Nov 2022
Edge Impulse: An MLOps Platform for Tiny Machine Learning Shawn Hymel Colby R. Banbury Daniel Situnayake A. Elium Carl Ward ... Louis Moreau Dmitry Maslov A. Beavis Jan Jongboom Vijay Janapa Reddi VLM LRM 40 95 0 02 Nov 2022
Enabling ISP-less Low-Power Computer Vision Gourav Datta Zeyu Liu Zihan Yin Linyu Sun Akhilesh R. Jaiswal P. Beerel VLM 18 7 0 11 Oct 2022
Hardware-aware mobile building block evaluation for computer vision Maxim Bonnaerens Matthias Anton Freiberger Marian Verhelst J. Dambre 20 1 0 26 Aug 2022
Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime Saad Ashfaq Mohammadhossein Askarihemmat Sudhakar Sah Ehsan Saboori Olivier Mastropietro Alexander Hoffman BDL MQ 15 4 0 18 Jul 2022
T-RECX: Tiny-Resource Efficient Convolutional neural networks with early-eXit N. Ghanathe Steve Wilton 19 10 0 14 Jul 2022
On-Device Training Under 256KB Memory Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan Song Han MQ 25 194 0 30 Jun 2022
Machine Learning Sensors Pete Warden Matthew P. Stewart Brian Plancher Colby R. Banbury Shvetank Prakash Emma Chen Zain Asgar Sachin Katti Vijay Janapa Reddi 37 12 0 07 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 21 118 0 29 May 2022
Depth Pruning with Auxiliary Networks for TinyML Josen Daniel De Leon Rowel Atienza VLM 4 11 0 22 Apr 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML Visal Rajapakse Ishan Karunanayake Nadeem Ahmed SyDa 28 53 0 02 Apr 2022
Toward Efficient Hyperspectral Image Processing inside Camera Pixels Gourav Datta Zihan Yin A. Jacob Akhilesh R. Jaiswal P. Beerel 16 8 0 11 Mar 2022
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications Gourav Datta Souvik Kundu Zihan Yin R. T. Lakkireddy Joe Mathai A. Jacob P. Beerel Akhilesh R. Jaiswal 16 36 0 07 Mar 2022
Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images Qianyun Lu B. Murmann 16 6 0 04 Mar 2022
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator Chuteng Zhou F. García-Redondo Julian Büchel I. Boybat Xavier Timoneda Comas S. Nandakumar Shidhartha Das A. Sebastian M. Le Gallo P. Whatmough 25 16 0 10 Nov 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning Ji Lin Wei-Ming Chen Han Cai Chuang Gan Song Han 34 152 0 28 Oct 2021
Differentiable Network Pruning for Microcontrollers Edgar Liberis Nicholas D. Lane 16 18 0 15 Oct 2021
TinyFedTL: Federated Transfer Learning on Tiny Devices Kavya Kopparapu Eric Lin 78 18 0 03 Oct 2021
MLPerf Tiny Benchmark Colby R. Banbury Vijay Janapa Reddi P. Torelli J. Holleman Nat Jeffries ... Videet Parekh Honson Tran Nhan Tran Niu Wenxu Xu Xuesong VLM 32 183 0 14 Jun 2021
Widening Access to Applied Machine Learning with TinyML Vijay Janapa Reddi Brian Plancher Susan Kennedy L. Moroney Pete Warden ... Dominic Pajak Dhilan Ramaprasad J. E. Smith Matthew P. Stewart D. Tingley 14 51 0 07 Jun 2021
On-device Federated Learning with Flower Akhil Mathur Daniel J. Beutel Pedro Porto Buarque de Gusmão Javier Fernandez-Marques Taner Topal Xinchi Qiu Titouan Parcollet Yan Gao Nicholas D. Lane FedML 38 37 0 07 Apr 2021
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT H. F. Langroudi Vedant Karia Tej Pandit Dhireesha Kudithipudi MQ 19 10 0 06 Apr 2021
Quantization-Guided Training for Compact TinyML Models Sedigh Ghamari Koray Ozcan Thu Dinh A. Melnikov Juan Carvajal Jan Ernst S. Chai MQ 16 16 0 10 Mar 2021
$μ$ NAS: Constrained Neural Architecture Search for Microcontrollers Edgar Liberis L. Dudziak Nicholas D. Lane BDL 13 103 0 27 Oct 2020
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems R. David Jared Duke Advait Jain Vijay Janapa Reddi Nat Jeffries ... Meghna Natraj Shlomi Regev Rocky Rhodes Tiezhen Wang Pete Warden 107 465 0 17 Oct 2020
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers Manuele Rusci Marco Fariselli Alessandro Capotondi Luca Benini MQ 14 17 0 12 Aug 2020
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 15 782 0 28 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Yujun Lin J. Cohn Chuang Gan Song Han 56 475 0 20 Jul 2020
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks Hassan Dbouk Hetul Sanghvi M. Mehendale Naresh R Shanbhag MQ 17 9 0 19 Jul 2020
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 17 39 0 01 Jul 2020
Benchmarking TinyML Systems: Challenges and Direction Colby R. Banbury Vijay Janapa Reddi Max Lam William Fu A. Fazel ... Jae-sun Seo Jeff Sieracki Urmish Thakker Marian Verhelst Poonam Yadav 98 228 0 10 Mar 2020
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference Oindrila Saha Aditya Kusupati H. Simhadri Manik Varma Prateek Jain 19 54 0 27 Feb 2020
Searching for Winograd-aware Quantized Networks Javier Fernandez-Marques P. Whatmough Andrew Mundy Matthew Mattina MQ 11 40 0 25 Feb 2020
The Final Frontier: Deep Learning in Space Vivek Kothari Edgar Liberis Nicholas D. Lane 16 81 0 27 Jan 2020
Neural networks on microcontrollers: saving memory at inference via operator reordering Edgar Liberis Nicholas D. Lane 6 46 0 02 Oct 2019