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Scale Generalisation Properties of Extended Scale-Covariant and Scale-Invariant Gaussian Derivative Networks on Image Datasets with Spatial Scaling Variations

PDE-CNNs: Axiomatic Derivations and Applications

Scale Learning in Scale-Equivariant Convolutional Networks

VISAPP article and thesis chapter. This article addresses the mismatch between the scales for which scale equivariance methods are designed, and those occurring in real datasets.



Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks

Description

Reference papers

Mentions

Contributors

Member of community

Data underlying the publication/thesis chapter: Scale Learning in Scale-Equivariant Convolutional Networks

Description

Reference papers

Mentions

Journal articles2

Contributors

Member of community