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DOI: 10.4121/c60c22a8-15a8-40cc-b2f2-4bd4a936cb96

Bruintjes, Robert-Jan; Motyka, Tomasz; van Gemert, Jan (2025): Data underlying the publication: What Affects Learned Equivariance in Deep Image Recognition Models?. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c60c22a8-15a8-40cc-b2f2-4bd4a936cb96.v1

Categories

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

Keywords

computer vision Convolutional Neural Network data efficiency Deep Neural Networks equivariance

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Robert-Jan Bruintjes , Tomasz Motyka, Jan van Gemert

LaTeX source files for the CVPR workshop article and thesis chapter "What Affects Learned Equivariance in Deep Image Recognition Models?". This article investigates how to measure learned equivariance in vision models, and which design choices affect learned equivariance.

History

• 2025-09-09 first online, published, posted

Publisher

4TU.ResearchData

Format

text/x-tex image/jpeg image/png

Associated peer-reviewed publication

What Affects Learned Equivariance in Deep Image Recognition Models?

References

• https://arxiv.org/abs/2304.02628

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Computer Vision Lab