Methods › Computer Vision › Convolutional Neural Networks › SNet

SNet

6 papers tagged archive 2025-07-28

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.

SNet is a convolutional neural network architecture and object detection backbone used for the ThunderNet two-stage object detector. SNet uses ShuffleNetV2 basic blocks but replaces all 3×3 depthwise convolutions with 5×5 depthwise convolutions.

Paper Source See Code · ouyanghuiyu/Thundernet_Pytorch

Papers archive 2025-07-28

6 shown of 6, 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.

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets
28 Mar 2024 · 0 repositories · arXiv:2403.19177
Real Time Egocentric Segmentation for Video-self Avatar in Mixed Reality
4 Jul 2022 · 0 repositories · arXiv:2207.01296
Rethinking Image Deraining via Rain Streaks and Vapors
3 Aug 2020 · 1 repository · arXiv:2008.00823

Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
Egocentric Human Segmentation for Mixed Reality
25 May 2020 · 0 repositories · arXiv:2005.12074
ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices
1 Oct 2019 · 0 repositories
ThunderNet: Towards Real-time Generic Object Detection
28 Mar 2019 · 3 repositories · arXiv:1903.11752

Tasks archive 2025-07-28

12 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
Semantic Segmentation	3
Mixed Reality	2
Object Detection	2
Segmentation	2
object-detection	2
Image Generation	1
Image Restoration	1
Image Segmentation	1
Medical Image Segmentation	1
Object	1
Rain Removal	1
Single Image Deraining	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (6 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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