Methods › Computer Vision › Light-weight neural networks › PeleeNet
PeleeNet
Introduced by Jun Wang et al. in Pelee: A Real-Time Object Detection System on Mobile Devices
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
PeleeNet is a convolutional neural network and object detection backbone that is a variation of DenseNet with optimizations to meet a memory and computational budget. Unlike competing networks, it does not use depthwise convolutions and instead relies on regular convolutions.
Papers archive 2025-07-28
3 shown of 3, 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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Convolutional Neural Network for emotion recognition to assist psychiatrists and psychologists during the COVID-19 pandemic: experts opinion 15 May 2020 · 0 repositories · arXiv:2005.07649
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CSPNet: A New Backbone that can Enhance Learning Capability of CNN 27 Nov 2019 · 123 repositories · arXiv:1911.11929
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Pelee: A Real-Time Object Detection System on Mobile Devices 1 Dec 2018 · 2 repositories
Tasks archive 2025-07-28
9 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Object Detection | 2 |
| Real-Time Object Detection | 2 |
| Attribute | 1 |
| Computational Efficiency | 1 |
| Emotion Recognition | 1 |
| Facial Expression Recognition (FER) | 1 |
| Image Classification | 1 |
| RTE | 1 |
| object-detection | 1 |
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