MCUNet: Tiny Deep Learning on IoT Devices

20 July 2020

Chuang Gan

Song Han

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Papers citing "MCUNet: Tiny Deep Learning on IoT Devices"

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Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks A. Hojjat Janek Haberer Tayyaba Zainab Olaf Landsiedel 37 3 0 18 Apr 2025
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models? Christophe El Zeinaty W. Hamidouche Glenn Herrou D. Ménard Merouane Debbah 41 0 0 13 Apr 2025
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training Yi Hu Jinhang Zuo Eddie Zhang Bob Iannucci Carlee Joe-Wong 24 0 0 13 Apr 2025
MGS: Markov Greedy Sums for Accurate Low-Bitwidth Floating-Point Accumulation Vikas Natesh H. T. Kung David Kong 19 0 0 12 Apr 2025
PQS (Prune, Quantize, and Sort): Low-Bitwidth Accumulation of Dot Products in Neural Network Computations Vikas Natesh H. T. Kung MQ 133 0 0 12 Apr 2025
MicroNAS: An Automated Framework for Developing a Fall Detection System Seyed Mojtaba Mohasel John Sheppard Lindsey K. Molina Richard R. Neptune Shane R. Wurdeman Corey A. Pew 27 1 0 10 Apr 2025
Benchmarking Ultra-Low-Power $μ$ NPUs Josh Millar Yushan Huang Sarab Sethi Hamed Haddadi Anil Madhavapeddy BDL 56 0 0 28 Mar 2025
FACETS: Efficient Once-for-all Object Detection via Constrained Iterative Search Tony Tran Bin Hu 34 0 0 27 Mar 2025
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection Manuel Barusco Lorenzo DÁntoni Davide Dalle Pezze Francesco Borsatti Gian Antonio Susto 53 0 0 04 Mar 2025
FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus Youbing Hu Yun Cheng Zimu Zhou Anqi Lu Zhiqiang Cao Zhijun Li TTA 59 0 0 28 Feb 2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation Emil Njor Colby R. Banbury Xenofon Fafoutis 65 0 0 18 Feb 2025
ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine Shengyu Duan R. Shafik Alex Yakovlev 44 0 0 08 Feb 2025
Lightweight Design and Optimization methods for DCNNs: Progress and Futures Hanhua Long Wenbin Bi Jian Sun 80 0 0 22 Dec 2024
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Yequan Zhao Hai Li Ian Young Zheng-Wei Zhang MQ 37 2 0 07 Nov 2024
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision Xiangzhong Luo Di Liu Hao Kong Shuo Huai Hui Chen Guochu Xiong Weichen Liu 31 2 0 03 Nov 2024
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers Zebin Yang Renze Chen Taiqiang Wu Ngai Wong Yun Liang Runsheng Wang R. Huang Meng Li MQ 19 1 0 23 Oct 2024
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units Liam Boyle Julian Moosmann Nicolas Baumann Seonyeong Heo Michele Magno ObjD 43 2 0 22 Oct 2024
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge Manuel Barusco Francesco Borsatti Davide Dalle Pezze Francesco Paissan Elisabetta Farella Gian Antonio Susto 25 3 0 15 Oct 2024
Accelerating TinyML Inference on Microcontrollers through Approximate Kernels Giorgos Armeniakos Georgios Mentzos Dimitrios Soudris 18 0 0 25 Sep 2024
Cooperative Inference with Interleaved Operator Partitioning for CNNs Zhibang Liu Chaonong Xu Zhizhuo Liu Lekai Huang Jiachen Wei Chao Li VLM 31 0 0 12 Sep 2024
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification Bidyut Saha Riya Samanta S. K. Ghosh Ram Babu Roy 16 3 0 29 Aug 2024
MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs Ye Qiao Haocheng Xu Yifan Zhang Sitao Huang 41 0 0 26 Aug 2024
Combining Neural Architecture Search and Automatic Code Optimization: A Survey Inas Bachiri Hadjer Benmeziane Smail Niar Riyadh Baghdadi Hamza Ouarnoughi Abdelkrime Aries 40 0 0 07 Aug 2024
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks Jaewook Lee Yoel Park Seulki Lee VLM 23 1 0 07 Aug 2024
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI Brendan Reidy Sepehr Tabrizchi Mohamadreza Mohammadi Shaahin Angizi A. Roohi Ramtin Zand 19 3 0 23 Jul 2024
StreamTinyNet: video streaming analysis with spatial-temporal TinyML Hazem Hesham Yousef Shalby Massimo Pavan Manuel Roveri 32 0 0 22 Jul 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
MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs Junfeng Gong Cheng Liu Long Cheng Huawei Li Xiaowei Li 28 0 0 17 Jul 2024
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors Matt Gorbett Hossein Shirazi Indrakshi Ray MQ 43 0 0 16 Jul 2024
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers M. Deutel Frank Hannig Christopher Mutschler Jürgen Teich MQ 23 0 0 15 Jul 2024
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation Yipin Guo Zihao Li Yilin Lang Qinyuan Ren 63 0 0 03 Jul 2024
Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving Yipin Guo Yilin Lang Qinyuan Ren 42 0 0 03 Jul 2024
Accelerate Intermittent Deep Inference Ziliang Zhang 15 0 0 01 Jul 2024
ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs Seyedhamidreza Mousavi Mohammad Hasan Ahmadilivani J. Raik M. Jenihhin Masoud Daneshtalab 33 2 0 10 Jun 2024
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs Fang Chen Gourav Datta Mujahid Al Rafi Hyeran Jeon Meng Tang 91 1 0 06 Jun 2024
Multi-Objective Neural Architecture Search by Learning Search Space Partitions Yiyang Zhao Linnan Wang Tian Guo 43 1 0 01 Jun 2024
Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems Pietro Farina Subrata Biswas Eren Yildiz Khakim Akhunov Saad Ahmed Bashima Islam K. Yıldırım 23 3 0 16 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
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs Size Zheng Renze Chen Meng Li Zihao Ye Luis Ceze Yun Liang 21 1 0 01 May 2024
One-Shot Image Restoration Deborah Pereg SupR 29 1 0 26 Apr 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version David Campos Bin Yang Tung Kieu Miao Zhang Chenjuan Guo Christian S. Jensen 37 7 0 22 Apr 2024
Lightweight Deep Learning for Resource-Constrained Environments: A Survey Hou-I Liu Marco Galindo Hongxia Xie Lai-Kuan Wong Hong-Han Shuai Yung-Hui Li Wen-Huang Cheng 50 48 0 08 Apr 2024
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices Hasib-Al Rashid Argho Sarkar A. Gangopadhyay Maryam Rahnemoonfar T. Mohsenin 34 3 0 04 Apr 2024
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs Victor J. B. Jung Alessio Burrello Moritz Scherer Francesco Conti Luca Benini 22 4 0 03 Apr 2024
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search Ye Qiao Haocheng Xu Sitao Huang 19 0 0 30 Mar 2024
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 36 51 0 28 Mar 2024
SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different Languages René Groh Nina Goes Andreas M. Kist 26 0 0 14 Mar 2024
DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers Xiao Ma Shengfeng He Hezhe Qiao Dong-Lai Ma 21 1 0 14 Mar 2024
Simulating Battery-Powered TinyML Systems Optimised using Reinforcement Learning in Image-Based Anomaly Detection Jared M. Ping Ken J. Nixon 21 0 0 08 Mar 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing Xiaofan Yu Anthony Thomas Ivannia Gomez Moreno Louis Gutierrez Tajana Simunic 38 3 0 07 Mar 2024