Methods › Computer Vision › Convolutional Neural Networks › SimpleNet

SimpleNet

6 papers tagged archive 2025-07-28

Introduced by Seyyed Hossein Hasanpour et al. in Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

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

SimpleNet is a convolutional neural network with 13 layers. The network employs a homogeneous design utilizing 3 × 3 kernels for convolutional layer and 2 × 2 kernels for pooling operations. The only layers which do not use 3 × 3 kernels are 11th and 12th layers, these layers, utilize 1 × 1 convolutional kernels. Feature-map down-sampling is carried out using nonoverlaping 2 × 2 max-pooling. In order to cope with the problem of vanishing gradient and also over-fitting, SimpleNet also uses batch-normalization with moving average fraction of 0.95 before any ReLU non-linearity.

PaperSourceSee Code · Coderx7/SimpleNet_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.

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.

TaskPapers
Image Classification3
Anomaly Classification1
Anomaly Detection1
Anomaly Segmentation1
Decoder1
GPU1
General Classification1
Novelty Detection1
Object Detection1
Prediction1
Saliency Prediction1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with SimpleNet: 2016 to 2023, peak 3 3 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 1 paper 2019 2020: 3 papers 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 1 paper 2023
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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