Visual Wake Words Dataset

12 June 2019

Papers citing "Visual Wake Words Dataset"

50 / 55 papers shown

MaRVIn: A Cross-Layer Mixed-Precision RISC-V Framework for DNN Inference, from ISA Extension to Hardware AccelerationIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025

132

18 Sep 2025

Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL

146

29 Aug 2025

Searching Neural Architectures for Sensor Nodes on IoT GatewaysIEEE Internet of Things Journal (IEEE IoT J.), 2025

Andrea Mattia Garavagno

E. Ragusa

A. Frisoli

Paolo Gastaldo

233

29 May 2025

End-to-end fully-binarized network design: from Generic Learned Thermometer to Block PruningInternational Conference on Artificial Intelligence Circuits and Systems (AICAS), 2025

Thien Nguyen

William Guicquero

282

05 May 2025

Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAsInternational Conference on Field-Programmable Technology (ICFPT), 2024

262

28 Apr 2025

MicroFlow: An Efficient Rust-Based Inference Engine for TinyMLInternet of Things (IoT), 2024

Matteo Carnelos

Francesco Pasti

Nicola Bellotto

305

28 Sep 2024

Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations

261

19 Jul 2024

On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers

M. Deutel

Frank Hannig

Christopher Mutschler

Jürgen Teich

323

15 Jul 2024

TinySV: Speaker Verification in TinyML with On-device Learning

236

03 Jun 2024

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization

M. Apolinario

Arani Roy

Kaushik Roy

335

24 May 2024

Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications

Colby R. Banbury

Emil Njor

Andrea Mattia Garavagno

615

01 May 2024

On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case

Fatemeh Dehrouyeh

Li Yang

F. Badrkhani Ajaei

Abdallah Shami

310

25 Apr 2024

DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with PruningIEEE Conference on Computer Communications (INFOCOM), 2024

Lixiang Han

Zhen Xiao

Zhenjiang Li

323

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

268

08 Dec 2023

Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT DevicesIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2023

Luca Bompani

Matteo Risso

Beatrice Alessandra Motetti

Enrico Macii

Luca Benini

Daniele Jahier Pagliari

246

11 Oct 2023

Environmental Sound Classification on An Embedded Hardware PlatformINTER-NOISE and NOISE-CON Congress and Conference Proceedings (INTER-NOISE), 2023

Gabriel Bibbó

Arshdeep Singh

Mark D. Plumbley

15 Jun 2023

Datasheets for Machine Learning Sensors

...

344

15 Jun 2023

RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on EdgeIEEE Internet of Things Journal (IEEE IoT J.), 2023

Adithya Krishna

Srikanth Rohit Nudurupati

Chandana D G

Pritesh Dwivedi

André van Schaik

M. Mehendale

Chetan Singh Thakur

148

10 Jun 2023

AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory ComputingInternational Conference on Edge Computing [Services Society] (EDGE), 2023

...

193

17 May 2023

Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution

Edgar Liberis

Nicholas D. Lane

388

30 Nov 2022

Edge Impulse: An MLOps Platform for Tiny Machine LearningConference on Machine Learning and Systems (MLSys), 2022

...

420

149

02 Nov 2022

Enabling ISP-less Low-Power Computer VisionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022

202

11 Oct 2022

Hardware-aware mobile building block evaluation for computer visionApplied Sciences (Appl. Sci.), 2022

Maxim Bonnaerens

Matthias Anton Freiberger

Marian Verhelst

J. Dambre

299

26 Aug 2022

Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime

Saad Ashfaq

Mohammadhossein Askarihemmat

187

18 Jul 2022

T-RECX: Tiny-Resource Efficient Convolutional neural networks with early-eXitACM International Conference on Computing Frontiers (CF), 2022

N. Ghanathe

Steve Wilton

303

14 Jul 2022

On-Device Training Under 256KB MemoryNeural Information Processing Systems (NeurIPS), 2022

Chuang Gan

Song Han

526

279

30 Jun 2022

Machine Learning Sensors

240

07 Jun 2022

Machine Learning for Microcontroller-Class Hardware: A ReviewIEEE Sensors Journal (IEEE Sens. J.), 2022

Swapnil Sayan Saha

S. Sandha

Mani B. Srivastava

641

187

29 May 2022

Depth Pruning with Auxiliary Networks for TinyMLIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

Josen Daniel De Leon

Rowel Atienza

VLM

297

22 Apr 2022

Intelligence at the Extreme Edge: A Survey on Reformable TinyMLACM Computing Surveys (ACM CSUR), 2022

228

02 Apr 2022

Toward Efficient Hyperspectral Image Processing inside Camera Pixels

202

11 Mar 2022

P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML ApplicationsScientific Reports (Sci Rep), 2022

265

07 Mar 2022

Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images

Qianyun Lu

B. Murmann

255

04 Mar 2022

AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator

Xavier Timoneda Comas

163

10 Nov 2021

MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep LearningNeural Information Processing Systems (NeurIPS), 2021

Ji Lin

Wei-Ming Chen

Han Cai

Chuang Gan

Song Han

387

187

28 Oct 2021

Differentiable Network Pruning for Microcontrollers

Edgar Liberis

Nicholas D. Lane

311

15 Oct 2021

TinyFedTL: Federated Transfer Learning on Tiny Devices

Kavya Kopparapu

Eric Lin

277

03 Oct 2021

MLPerf Tiny Benchmark

...

609

267

14 Jun 2021

Widening Access to Applied Machine Learning with TinyMLHarvard data science review (HDSR), 2021

...

188

07 Jun 2021

On-device Federated Learning with Flower

Akhil Mathur

Daniel J. Beutel

Pedro Porto Buarque de Gusmão

Javier Fernandez-Marques

280

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

180

06 Apr 2021

Quantization-Guided Training for Compact TinyML Models

221

10 Mar 2021

μ

NAS: Constrained Neural Architecture Search for Microcontrollers

224

126

27 Oct 2020

TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

...

674

606

17 Oct 2020

Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers

Manuele Rusci

Marco Fariselli

Alessandro Capotondi

Luca Benini

166

12 Aug 2020

Flower: A Friendly Federated Learning Research Framework

Javier Fernandez-Marques

...

Lorenzo Sani

Kwing Hei Li

Titouan Parcollet

Pedro Porto Buarque de Gusmão

Nicholas D. Lane

FedML

737

1,188

28 Jul 2020

MCUNet: Tiny Deep Learning on IoT Devices

Chuang Gan

Song Han

485

639

20 Jul 2020

DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural NetworksEuropean Conference on Computer Vision (ECCV), 2020

160

19 Jul 2020

Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles

Luca Benini and

224

01 Jul 2020

Benchmarking TinyML Systems: Challenges and Direction

Max Lam

...

444

292

10 Mar 2020