Methods › Computer Vision › Convolutional Neural Networks › ShuffleNet v2

ShuffleNet v2

14 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

ShuffleNet v2 is a convolutional neural network optimized for a direct metric (speed) rather than indirect metrics like FLOPs. It builds upon ShuffleNet v1, which utilised pointwise group convolutions, bottleneck-like structures, and a channel shuffle operation. Differences are shown in the Figure to the right, including a new channel split operation and moving the channel shuffle operation further down the block.

Source: ShuffleNet V2: Practical Guidelines for Efficient CNN...See Code · pytorch/vision

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.

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.

TaskPapers
Image Classification4
Object Detection4
Neural Architecture Search3
object-detection3
Deep Learning2
General Classification2
Semantic Segmentation2
image-classification2
Adversarial Attack1
Adversarial Robustness1
Autonomous Driving1
Decision Making1
Real-Time Object Detection1
Real-Time Semantic Segmentation1
Segmentation1
Self-Driving Cars1

Usage over time archive 2025-07-28

Papers per year tagged with ShuffleNet v2: 2018 to 2023, peak 4 4 0 2018: 3 papers 2018 2019: 4 papers 2019 2020: 2 papers 2020 2021: 3 papers 2021 2022: 0 papers 2022 2023: 2 papers 2023
Papers per year the archive tags with this method, by the paper's archive date (14 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

Convolutional Neural Networks

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