Methods › General › Skip Connection Blocks › ShuffleNet Block
ShuffleNet Block
Introduced by Xiangyu Zhang et al. in ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A ShuffleNet Block is an image model block that utilises a channel shuffle operation, along with depthwise convolutions, for an efficient architectural design. It was proposed as part of the ShuffleNet architecture. The starting point is the Residual Block unit from ResNets, which is then modified with a pointwise group convolution and a channel shuffle operation.
Papers archive 2025-07-28
30 shown of 51, 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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Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection 14 Jun 2025 · 0 repositories · arXiv:2506.14834
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Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection 8 Jan 2025 · 0 repositories · arXiv:2501.04196
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Advancing Green AI: Efficient and Accurate Lightweight CNNs for Rice Leaf Disease Identification 3 Aug 2024 · 0 repositories · arXiv:2408.01752
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Fragility, Robustness and Antifragility in Deep Learning 15 Dec 2023 · 0 repositories · arXiv:2312.09821
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Generalizability of CNN Architectures for Face Morph Presentation Attack 17 Oct 2023 · 0 repositories · arXiv:2310.11105
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A Non-monotonic Smooth Activation Function 16 Oct 2023 · 0 repositories · arXiv:2310.10126
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Multi-Transfer Learning Techniques for Detecting Auditory Brainstem Response 29 Aug 2023 · 0 repositories · arXiv:2308.16203
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PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images and Convolutional Neural Networks 7 Mar 2023 · 0 repositories · arXiv:2303.04269
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Use Cases for Time-Frequency Image Representations and Deep Learning Techniques for Improved Signal Classification 22 Feb 2023 · 0 repositories · arXiv:2302.11093
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QLABGrad: a Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning 1 Feb 2023 · 0 repositories · arXiv:2302.00252
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Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer 22 Aug 2022 · 0 repositories · arXiv:2208.10495
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Design and Analysis of Novel Bit-flip Attacks and Defense Strategies for DNNs 24 Jun 2022 · 1 repository
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Structured Pruning is All You Need for Pruning CNNs at Initialization 4 Mar 2022 · 0 repositories · arXiv:2203.02549
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Multimodal registration of FISH and nanoSIMS images using convolutional neural network models 14 Jan 2022 · 0 repositories · arXiv:2201.05545
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ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections 9 Jan 2022 · 1 repository · arXiv:2201.03013
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Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique 1 Jan 2022 · 0 repositories
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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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Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework 29 Sep 2021 · 0 repositories
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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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High performing ensemble of convolutional neural networks for insect pest image detection 28 Aug 2021 · 0 repositories · arXiv:2108.12539
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Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System 1 Aug 2021 · 0 repositories · arXiv:2108.00392
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Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework 16 Jun 2021 · 0 repositories · arXiv:2106.09121
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Lite-HRNet: A Lightweight High-Resolution Network 13 Apr 2021 · 17 repositories · arXiv:2104.06403Syntology ran 12 of 29 samples · 17 unverified · 13 pointer-only (licence)
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ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators 12 Apr 2021 · 0 repositories · arXiv:2104.05217
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Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning 5 Feb 2021 · 1 repository · arXiv:2102.03214Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
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Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps 29 Dec 2020 · 2 repositories · arXiv:2012.14966Syntology ran 16 of 23 samples · 7 unverified
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Ensemble-CVDNet: A Deep Learning based End-to-End Classification Framework for COVID-19 Detection using Ensembles of Networks 9 Dec 2020 · 1 repository · arXiv:2012.09132
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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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MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization 19 Oct 2020 · 1 repository · arXiv:2010.09278
Tasks archive 2025-07-28
20 shown of 57 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