Methods › Computer Vision › Image Model Blocks › ShuffleNet V2 Downsampling Block
ShuffleNet V2 Downsampling Block
Introduced by Ningning Ma et al. in ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ShuffleNet V2 Downsampling Block is a block for spatial downsampling used in the ShuffleNet V2 architecture. Unlike the regular ShuffleNet V2 block, the channel split operator is removed so the number of output channels is doubled.
Papers archive 2025-07-28
14 shown of 14, 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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Fragility, Robustness and Antifragility in Deep Learning 15 Dec 2023 · 0 repositories · arXiv:2312.09821
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A Non-monotonic Smooth Activation Function 16 Oct 2023 · 0 repositories · arXiv:2310.10126
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SMU: smooth activation function for deep networks using smoothing maximum technique 8 Nov 2021 · 6 repositories · arXiv:2111.04682
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SAU: Smooth activation function using convolution with approximate identities 27 Sep 2021 · 0 repositories · arXiv:2109.13210
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ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions 9 Sep 2021 · 0 repositories · arXiv:2109.04386
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DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks 22 Apr 2020 · 0 repositories · arXiv:2004.10694
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CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images 23 Jan 2020 · 1 repository · arXiv:2001.08593
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Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks 21 Oct 2019 · 0 repositories · arXiv:1910.09455
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Mish: A Self Regularized Non-Monotonic Activation Function 23 Aug 2019 · 9 repositories · arXiv:1908.08681Syntology ran 3 of 12 samples · 9 unverified
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DiCENet: Dimension-wise Convolutions for Efficient Networks 8 Jun 2019 · 2 repositories · arXiv:1906.03516Syntology ran 0 of 1 samples · 1 unverified
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Butterfly Transform: An Efficient FFT Based Neural Architecture Design 5 Jun 2019 · 1 repository · arXiv:1906.02256
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ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search 7 Dec 2018 · 0 repositories · arXiv:1812.02975
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DSNet for Real-Time Driving Scene Semantic Segmentation 6 Dec 2018 · 0 repositories · arXiv:1812.07049
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design 30 Jul 2018 · 35 repositories · arXiv:1807.11164Syntology ran 1 of 30 samples · 29 unverified
Tasks archive 2025-07-28
16 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