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X-WR-CALNAME:GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
X-ORIGINAL-URL:https://www.greyc.fr
X-WR-CALDESC:évènements pour GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
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TZID:Europe/Paris
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DTSTART:20220327T010000
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DTSTART:20221030T010000
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DTSTART;TZID=Europe/Paris:20221117T140000
DTEND;TZID=Europe/Paris:20221117T160000
DTSTAMP:20260423T123651
CREATED:20221108T090331Z
LAST-MODIFIED:20230307T084204Z
UID:10991-1668693600-1668700800@www.greyc.fr
SUMMARY:Séminaire IMAGE : Edouard Oyallon (ISIR)\, « Learning is boring: image classification with patches »
DESCRIPTION:Nous aurons le plaisir d’accueillir Edouard Oyallon (https://edouardoyallon.github.io/)\, CR CNRS à l’ISIR\, le jeudi 17 novembre 2022 à 14h00\, en salle F-106.\nTitre : Learning is boring: image classification with patches\nRésumé :\nI will discuss several old and recent results suggesting that simple baselines are still of interest even in large-scale Deep Learning applications. By simple\, I mean those baselines are often shallow(with only a few ad-hoc layers)\, involve limited learning\, and potentially some low-level representations like a dictionary of patches or cascade of wavelets. However\, surprisingly\, those representations are competitive on complex datasets.
URL:https://www.greyc.fr/event/seminaire-image-edouard-oyallon-mlia-lip6-learning-is-boring-image-classification-with-patches/
LOCATION:FA-106
CATEGORIES:General,Image,Seminaire Image
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