Methods › Computer Vision › Light-weight neural networks › MobileNetV1

MobileNetV1

74 papers tagged archive 2025-07-28

Introduced by Andrew G. Howard et al. in MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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

MobileNet is a type of convolutional neural network designed for mobile and embedded vision applications. They are based on a streamlined architecture that uses depthwise separable convolutions to build lightweight deep neural networks that can have low latency for mobile and embedded devices.

PaperSourceSee Code · osmr/imgclsmob

Papers archive 2025-07-28

30 shown of 74, 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 79 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 Classification15
Object Detection15
Quantization12
object-detection11
image-classification10
Network Pruning6
GPU5
Model Compression5
CPU4
Computational Efficiency4
General Classification4
Semantic Segmentation4
Classification3
Deep Learning3
Neural Architecture Search3
Transfer Learning3
Diagnostic2
Edge-computing2
Face Recognition2
Facial Expression Recognition (FER)2

Usage over time archive 2025-07-28

Papers per year tagged with MobileNetV1: 2017 to 2025, peak 19 19 0 2017: 2 papers 2017 2018: 7 papers 2018 2019: 9 papers 2019 2020: 19 papers 2020 2021: 6 papers 2021 2022: 12 papers 2022 2023: 11 papers 2023 2024: 5 papers 2024 2025: 3 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (74 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

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