Name: [PDG 146] Approximating CNNs with Bag-of-local-Features models
Start: 2019-05-02T18:30:00+02:00
End: 2019-05-02T20:30:00+02:00
Location: Informatik-Gebäude des KIT (50.34) Raum -120

Machine Learning Paper Discussion Group

In the Paper Discussion Group (PDG) we discuss on a weekly base recent and fundamental papers in the area of machine learning. For several weeks, we follow one track to dive a bit deeper into a topic by reading matching or correlate papers. If you are interested, read the paper and join us.

Track: Open
Topic: Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Paper: https://arxiv.org/abs/1904.00760

Jörg Franke

karlsruhe.ai

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Timo Denk

Marcel Köpke

Hans-Peter Zorn

Patrick Wiener

Jan Löffler

Muhammad Ali Zia

Amir

[PDG 146] Approximating CNNs with Bag-of-local-Features models

Informatik-Gebäude des KIT (50.34) Raum -120

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[PDG 146] Approximating CNNs with Bag-of-local-Features models

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