Methods › General › Regularization › SpatialDropout

SpatialDropout

28 papers tagged archive 2025-07-28

Introduced by Jonathan Tompson et al. in Efficient Object Localization Using Convolutional Networks

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

SpatialDropout is a type of dropout for convolutional networks. For a given convolution feature tensor of size n_(feats)×height×width, we perform only n_(feats) dropout trials and extend the dropout value across the entire feature map. Therefore, adjacent pixels in the dropped-out feature map are either all 0 (dropped-out) or all active as illustrated in the figure to the right.

Paper Source See Code · kklosowski/EterChess

Papers archive 2025-07-28

28 shown of 28, 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.

Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices
10 Jul 2024 · 0 repositories · arXiv:2407.07605
DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction
1 Dec 2023 · 3 repositories
Resource Constrained Semantic Segmentation for Waste Sorting
30 Oct 2023 · 1 repository · arXiv:2310.19407
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml
16 May 2022 · 0 repositories · arXiv:2205.07690
Efficient Accelerator for Dilated and Transposed Convolution with Decomposition
2 May 2022 · 0 repositories · arXiv:2205.02103
Improving evidential deep learning via multi-task learning
17 Dec 2021 · 1 repository · arXiv:2112.09368
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
23 Jul 2021 · 0 repositories · arXiv:2107.11447
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
5 Jan 2021 · 1 repository · arXiv:2101.01761
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring
5 Dec 2020 · 0 repositories · arXiv:2012.03087
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
30 Nov 2020 · 0 repositories · arXiv:2012.15766
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
21 Oct 2020 · 0 repositories · arXiv:2010.12440
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
11 Aug 2020 · 0 repositories · arXiv:2008.04751
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment
10 Jun 2020 · 0 repositories · arXiv:2006.05575
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices
15 Sep 2019 · 0 repositories · arXiv:1909.06840
Don't ignore Dropout in Fully Convolutional Networks
24 Aug 2019 · 0 repositories · arXiv:1908.09162
Learning Lightweight Lane Detection CNNs by Self Attention Distillation
2 Aug 2019 · 2 repositories · arXiv:1908.00821

Syntology ran 2 of 8 samples · 6 unverified
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales
17 Apr 2019 · 0 repositories · arXiv:1904.08056
Real time backbone for semantic segmentation
16 Mar 2019 · 0 repositories · arXiv:1903.06922
DSNet for Real-Time Driving Scene Semantic Segmentation
6 Dec 2018 · 0 repositories · arXiv:1812.07049
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
29 Nov 2018 · 0 repositories · arXiv:1811.12008
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
9 Oct 2018 · 0 repositories · arXiv:1810.03814
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation
16 Jul 2018 · 1 repository · arXiv:1807.06081
Mapping Road Lanes Using Laser Remission and Deep Neural Networks
27 Apr 2018 · 0 repositories · arXiv:1804.10662
Computationally efficient cardiac views projection using 3D Convolutional Neural Networks
3 Nov 2017 · 0 repositories · arXiv:1711.01345
Fast Scene Understanding for Autonomous Driving
8 Aug 2017 · 1 repository · arXiv:1708.02550
FastVentricle: Cardiac Segmentation with ENet
13 Apr 2017 · 0 repositories · arXiv:1704.04296
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
7 Jun 2016 · 49 repositories · arXiv:1606.02147

Syntology ran 5 of 30 samples · 25 unverified
Efficient Object Localization Using Convolutional Networks
16 Nov 2014 · 2 repositories · arXiv:1411.4280

Tasks archive 2025-07-28

20 shown of 46 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	14
Segmentation	11
Autonomous Driving	5
Image Segmentation	3
Autonomous Vehicles	2
Decoder	2
Deep Learning	2
Efficient Neural Network	2
Image Classification	2
Instance Segmentation	2
Medical Image Analysis	2
Quantization	2
Real-Time Semantic Segmentation	2
Scene Understanding	2
regression	2
Cardiac Segmentation	1
Data Augmentation	1
Decision Making	1
Depth Estimation	1
Diagnostic	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (28 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

Regularization

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