Methods › Computer Vision › Convolutional Neural Networks › ScaleNet

ScaleNet

7 papers tagged archive 2025-07-28

Introduced by Yi Li et al. in Data-Driven Neuron Allocation for Scale Aggregation Networks

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

ScaleNet, or a Scale Aggregation Network, is a type of convolutional neural network which learns a neuron allocation for aggregating multi-scale information in different building blocks of a deep network. The most informative output neurons in each block are preserved while others are discarded, and thus neurons for multiple scales are competitively and adaptively allocated. The scale aggregation (SA) block concatenates feature maps at a wide range of scales. Feature maps for each scale are generated by a stack of downsampling, convolution and upsampling operations.

Paper Source See Code · Eli-YiLi/ScaleNet

Papers archive 2025-07-28

7 shown of 7, 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.

Scale Invariance of Graph Neural Networks
28 Nov 2024 · 1 repository · arXiv:2411.19392
ScaleNet: Scale Invariance Learning in Directed Graphs
13 Nov 2024 · 1 repository · arXiv:2411.08758
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
3 Oct 2023 · 0 repositories · arXiv:2310.02386
ScaleNet: Searching for the Model to Scale
15 Jul 2022 · 1 repository · arXiv:2207.07267

Syntology ran 0 of 4 samples · 4 unverified
ScaleNet: A Shallow Architecture for Scale Estimation
9 Dec 2021 · 1 repository · arXiv:2112.04846
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
30 Nov 2020 · 0 repositories · arXiv:2011.14584
Data-Driven Neuron Allocation for Scale Aggregation Networks
20 Apr 2019 · 1 repository · arXiv:1904.09460

Tasks archive 2025-07-28

18 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
Graph Learning	2
Image Classification	2
Node Classification	2
Pose Estimation	2
3D Reconstruction	1
Camera Pose Estimation	1
Classification	1
Geometric Matching	1
Multi-Person Pose Estimation	1
Neural Architecture Search	1
Node Classification on Non-Homophilic (Heterophilic) Graphs	1
Object Detection	1
One-Shot Learning	1
Representation Learning	1
Semantic Segmentation	1
image-classification	1
model	1
object-detection	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (7 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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