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

Rosemberg Rodriguez Salas 1 Petr Dokládal 2 Eva Dokladalova 3, 1 
1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 CMM - Centre de Morphologie Mathématique
3 ESIEE Paris
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Conference papers
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https://hal-upec-upem.archives-ouvertes.fr/hal-03111509
Contributor : Eva Dokladalova Connect in order to contact the contributor
Submitted on : Friday, January 15, 2021 - 12:29:46 PM
Last modification on : Friday, January 14, 2022 - 3:30:30 PM

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  • HAL Id : hal-03111509, version 1

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INSTITUT-TELECOM | ENSMP | ENPC | UPEC-UPEM | CNRS | LIGM_A3SI | ENSMP_CMM | PARISTECH | LIGM | PSL | ENSMP_DR

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Rosemberg Rodriguez Salas, Petr Dokládal, Eva Dokladalova. A minimal model for rotation invariant convolutional neural networks with angle prediction. 16th International Conference on Computer Vision Theory and Applications - VISAPP 2021, Feb 2021, On-line Streaming, Austria. ⟨hal-03111509⟩

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