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A deep learning method for frame selection in videos for structure from motion pipelines
Structure-from-Motion (SfM) using the frames of a video sequence can be a challenging task because there is a lot of redundant …
Francesco Banterle
,
Rui Gong
,
Massimiliano Corsini
,
Fabio Ganovelli
,
Luc Van Gool
,
Paolo Cignoni
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Towards a topological–geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
We provide a general mathematical framework for group and set equivariance in machine learning. We define group equivariant …
Mattia G. Bergomi
,
Patrizio Frosini
,
Daniela Giorgi
,
Nicola Quercioli
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