Methods › Computer Vision › Light-weight neural networks › ShuffleNet

ShuffleNet

51 papers tagged archive 2025-07-28

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.

ShuffleNet is a convolutional neural network designed specially for mobile devices with very limited computing power. The architecture utilizes two new operations, pointwise group convolution and channel shuffle, to reduce computation cost while maintaining accuracy.

PaperSourceSee Code · mindspore-ecosystem/mindcv

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.

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.

TaskPapers
Image Classification6
Deep Learning5
Object Detection5
Semantic Segmentation5
image-classification5
GPU4
Model Compression4
Transfer Learning4
object-detection4
Diagnostic3
Real-Time Semantic Segmentation3
All2
Computational Efficiency2
Efficient Neural Network2
General Classification2
Network Pruning2
Neural Network Compression2
Quantization2
Rain Removal2
Segmentation2

Usage over time archive 2025-07-28

Papers per year tagged with ShuffleNet: 2017 to 2025, peak 10 10 0 2017: 1 paper 2017 2018: 8 papers 2018 2019: 7 papers 2019 2020: 9 papers 2020 2021: 10 papers 2021 2022: 6 papers 2022 2023: 7 papers 2023 2024: 1 paper 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (51 dated). Bars are counts, not a trend claim.

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

Light-weight neural networksConvolutional Neural Networks

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