Methods › Computer Vision › Convolutional Neural Networks › MnasNet
MnasNet
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MnasNet is a type of convolutional neural network optimized for mobile devices that is discovered through mobile neural architecture search, which explicitly incorporates model latency into the main objective so that the search can identify a model that achieves a good trade-off between accuracy and latency. The main building block is an inverted residual block (from MobileNetV2).
Papers archive 2025-07-28
20 shown of 20, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features 26 Jul 2023 · 1 repository · arXiv:2307.13953
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SAR ATR under Limited Training Data Via MobileNetV3 27 Jun 2023 · 1 repository · arXiv:2306.15287
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Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance 26 Nov 2022 · 0 repositories · arXiv:2211.14487
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An embarrassingly simple comparison of machine learning algorithms for indoor scene classification 25 Sep 2021 · 1 repository · arXiv:2109.12261
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HAO: Hardware-aware neural Architecture Optimization for Efficient Inference 26 Apr 2021 · 0 repositories · arXiv:2104.12766
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Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation 19 Apr 2021 · 0 repositories · arXiv:2104.09648
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Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces 16 Dec 2020 · 0 repositories · arXiv:2012.08859
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Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs 6 Nov 2020 · 1 repository · arXiv:2011.04475
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R-MnasNet: Reduced MnasNet for Computer Vision 8 Oct 2020 · 0 repositories
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EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search 16 Sep 2020 · 3 repositories · arXiv:2009.07409
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Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers 12 Aug 2020 · 0 repositories · arXiv:2008.05124
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To Filter Prune, or to Layer Prune, That Is The Question 11 Jul 2020 · 1 repository · arXiv:2007.05667
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Fine-Grained Stochastic Architecture Search 17 Jun 2020 · 1 repository · arXiv:2006.09581Syntology ran 0 of 2 samples · 2 unverified
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Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices 7 May 2020 · 0 repositories · arXiv:2005.05085
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Neural Epitome Search for Architecture-Agnostic Network Compression 12 Jul 2019 · 0 repositories · arXiv:1907.05642
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Attention Augmented Convolutional Networks 22 Apr 2019 · 14 repositories · arXiv:1904.09925Syntology ran 3 of 6 samples · 3 unverified · 1 pointer-only (licence)
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CondConv: Conditionally Parameterized Convolutions for Efficient Inference 10 Apr 2019 · 9 repositories · arXiv:1904.04971
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AutoSlim: Towards One-Shot Architecture Search for Channel Numbers 27 Mar 2019 · 10 repositories · arXiv:1903.11728
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ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation 21 Dec 2018 · 1 repository · arXiv:1812.08934
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MnasNet: Platform-Aware Neural Architecture Search for Mobile 31 Jul 2018 · 29 repositories · arXiv:1807.11626Syntology ran 2 of 6 samples · 4 unverified · 2 pointer-only (licence)
Tasks archive 2025-07-28
20 shown of 28 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections