Methods › Computer Vision › Object Detection Models › ThunderNet
ThunderNet
Introduced by Zheng Qin et al. in ThunderNet: Towards Real-time Generic Object Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ThunderNet is a two-stage object detection model. The design of ThunderNet aims at the computationally expensive structures in state-of-the-art two-stage detectors. The backbone utilises a ShuffleNetV2 inspired network called SNet designed for object detection. In the detection part, ThunderNet follows the detection head design in Light-Head R-CNN, and further compresses the RPN and R-CNN subnet. To eliminate the performance degradation induced by small backbones and small feature maps, ThunderNet uses two new efficient architecture blocks, Context Enhancement Module (CEM) and Spatial Attention Module (SAM). CEM combines the feature maps from multiple scales to leverage local and global context information, while SAM uses the information learned in RPN to refine the feature distribution in RoI warping.
Papers archive 2025-07-28
4 shown of 4, 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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Real Time Egocentric Segmentation for Video-self Avatar in Mixed Reality 4 Jul 2022 · 0 repositories · arXiv:2207.01296
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Egocentric Human Segmentation for Mixed Reality 25 May 2020 · 0 repositories · arXiv:2005.12074
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ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices 1 Oct 2019 · 0 repositories
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ThunderNet: Towards Real-time Generic Object Detection 28 Mar 2019 · 3 repositories · arXiv:1903.11752
Tasks archive 2025-07-28
6 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 |
|---|---|
| Mixed Reality | 2 |
| Object Detection | 2 |
| Segmentation | 2 |
| Semantic Segmentation | 2 |
| object-detection | 2 |
| Object | 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
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