Methods › Computer Vision › Image Representations › ScatNet

Scattering Transform

ScatNet

5 papers tagged archive 2025-07-28

Introduced by Joan Bruna et al. in Invariant Scattering Convolution Networks

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

A wavelet scattering transform computes a translation invariant representation, which is stable to deformation, using a deep convolution network architecture. It computes non-linear invariants with modulus and averaging pooling functions. It helps to eliminate the image variability due to translation and is stable to deformations.

Image source: Bruna and Mallat

Paper Source

Papers archive 2025-07-28

5 shown of 5, 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.

Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
1 Oct 2024 · 1 repository · arXiv:2410.00984
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
31 Aug 2021 · 1 repository · arXiv:2108.13939
Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement
23 Nov 2020 · 1 repository · arXiv:2011.11586
Generative networks as inverse problems with fractional wavelet scattering networks
28 Jul 2020 · 0 repositories · arXiv:2007.14177
Invariant Scattering Convolution Networks
5 Mar 2012 · 1 repository · arXiv:1203.1513

Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)

Tasks archive 2025-07-28

13 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
Classification	2
Clustering	1
Contrastive Learning	1
Data Augmentation	1
Decoder	1
Deep Clustering	1
Explainable Artificial Intelligence (XAI)	1
Explainable artificial intelligence	1
General Classification	1
Image Clustering	1
Image Generation	1
Self-Supervised Learning	1
Translation	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (5 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

Image Representations

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