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Rotation Invariant Networks for Image Classification for HPC and Embedded Systems

 Rosemberg Rodriguez Salas , Petr Dokládal , Eva Dokladalova
Electronics, 2021, 10 (2), pp.139. ⟨10.3390/electronics10020139⟩
Article dans une revue hal-03106734v1
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RED-NN: Rotation-Equivariant Deep Neural Network for Classification and Prediction of Rotation

 Rosemberg Rodriguez Salas , Petr Dokládal , Eva Dokladalova
2019
Pré-publication, Document de travail hal-02170933v1
Image document

A Minimal Model for Classification of Rotated Objects with Prediction of the Angle of Rotation

 Rosemberg Rodriguez Salas , Petr Dokládal , Eva Dokladalova
Journal of Visual Communication and Image Representation, 2021, 75, pp.103054. ⟨10.1016/j.jvcir.2021.103054⟩
Article dans une revue hal-03118567v2
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Rotation-invariant NN for learning naturally un-oriented data

 Rosemberg Rodriguez Salas , Petr Dokládal , Eva Dokladalova
2019
Pré-publication, Document de travail hal-02022802v1

Rotation Equivariant CNNs for Image Classification

 Rosemberg Rodriguez Salas , Petr Dokládal , Eva Dokladalova
2020
Autre publication scientifique hal-03110175v1
Image document

Rotation invariant CNN using scattering transform for image classification

 Rosemberg Rodriguez Salas , Eva Dokladalova , Petr Dokládal
IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan
Communication dans un congrès hal-02008378v2

A minimal model for rotation invariant convolutional neural networks with angle prediction

 Rosemberg Rodriguez Salas , Petr Dokládal , Eva Dokladalova
16th International Conference on Computer Vision Theory and Applications - VISAPP 2021, Feb 2021, On-line Streaming, Austria
Communication dans un congrès hal-03111509v1
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