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Tiny deep learning on microcontroller units (MCUs) is challenging due to the limited memory size.
ImageNet: A Large-Scale Hierarchical Image Database
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Wider face: A face detection benchmark
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Shuchang Zhou, Yuxin Wu, Zekun Ni, Xinyu Zhou, He Wen, and Yuheng Zou · 2016
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Chenzhuo Zhu, Song Han, Huizi Mao, and William J Dally · 2016
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Channel pruning for accelerating very deep neural networks
Yihui He, Xiangyu Zhang, and Jian Sun · 2017
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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Runtime neural pruning
Ji Lin, Yongming Rao, Jiwen Lu, and Jie Zhou · 2017
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Learning efficient convolutional networks through network slimming
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Prajit Ramachandran, Barret Zoph, and Quoc V Le · 2017
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S3fd: Single shot scale-invariant face detector
Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, and Stan Z Li · 2017
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Neural Architecture Search with Reinforcement Learning
Barret Zoph and Quoc V Le · 2017
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AMC: AutoML for Model Compression and Acceleration on Mobile Devices
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Quantization and training of neural networks for efficient integer-arithmetic-only inference
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Liangzhen Lai, Naveen Suda, and Vikas Chandra · 2018
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, and Jian Sun · 2018
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YOLOv3: An Incremental Improvement
Joseph Redmon and Ali Farhadi · 2018
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, and Song Han · 2019
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FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, and Kurt Keutzer · 2019
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Extd: Extremely tiny face detector via iterative filter reuse
YoungJoon Yoo, Dongyoon Han, and Sangdoo Yun · 2019
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Real-time multi-scale face detector on embedded devices
Xu Zhao, Xiaoqing Liang, Chaoyang Zhao, Ming Tang, and Jinqiao Wang · 2019
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Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun · 2018
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Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le · 2018
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ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai, Ligeng Zhu, and Song Han · 2019
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Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, and Rocky Rhodes · 2019
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Sparse: Sparse architecture search for cnns on resource-constrained microcontrollers
Igor Fedorov, Ryan P Adams, Matthew Mattina, and Paul Whatmough · 2019
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Breaking high-resolution cnn bandwidth barriers with enhanced depth-first execution
Koen Goetschalckx and Marian Verhelst · 2019
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Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, and Hadi Esmaeilzadeh · 2020
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Cmix-nn: Mixed low-precision cnn library for memory-constrained edge devices
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Model rubik’s cube: Twisting resolution, depth and width for tinynets
Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, and Tong Zhang · 2020
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μ \mu nas: Constrained neural architecture search for microcontrollers
Edgar Liberis, Łukasz Dudziak, and Nicholas D Lane · 2020
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Mcunet: Tiny deep learning on iot devices
Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, and Song Han · 2020
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Memory-driven mixed low precision quantization for enabling deep network inference on microcontrollers
Manuele Rusci, Alessandro Capotondi, and Luca Benini · 2020
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Rnnpool: Efficient non-linear pooling for ram constrained inference
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, and Prateek Jain · 2020
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Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers
Colby Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, and Paul Whatmough · 2021
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Hamed F Langroudi, Vedant Karia, Tej Pandit, and Dhireesha Kudithipudi · 2021
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Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Resource-constrained neural architecture search on edge devices
Bo Lyu, Hang Yuan, Longfei Lu, and Yunye Zhang · 2021
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Enabling large neural networks on tiny microcontrollers with swapping
Hongyu Miao and Felix Xiaozhu Lin · 2021
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