Equivariant Neural Networks | Part 2/3 - Generalized CNNs

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  • Опубліковано 29 чер 2024
  • ▬▬ Papers / Resources ▬▬▬
    Group Equivariant CNNs: arxiv.org/abs/1602.07576
    Convolution 3B1B video: • But what is a convolut...
    Fabian Fuchs Equivariance: fabianfuchsml.github.io/equiv...
    Steerable CNNs: arxiv.org/abs/1612.08498
    Blogpost GCNN: / geometric-deep-learnin...
    Roto-Translation Image Analysis: arxiv.org/abs/1804.03393
    Harmonic Networks: arxiv.org/abs/1612.04642
    Capsule Networks: arxiv.org/abs/1710.09829
    ▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
    Music from #Uppbeat (free for Creators!):
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    License code: WXVHOOZRRWDUCKIU
    ▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬
    All Icons are from flaticon: www.flaticon.com/authors/freepik
    ▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
    00:00 Introduction
    00:55 Group CNNs
    07:59 Steerable CNNs
    11:20 Harmonic Networks
    12:10 Capsule Networks
    14:30 3D models
    14:53 Recommended resources
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КОМЕНТАРІ • 6

  • @rosenrot1696
    @rosenrot1696 Рік тому +3

    Thanks for the videos! Im a pathologist who self-learning this field. I've recently got idea of group equivariance as an important property for feature extractors used for histopathology images. However, those G-CNNs are not familiar with us than other general CNN and vision transformers. Ill keep waiting for your next video.

  • @mathador4467
    @mathador4467 Рік тому

    Amazing video thanks!

  • @shaz-z506
    @shaz-z506 Рік тому

    Thanks for including caps net

    • @DeepFindr
      @DeepFindr  Рік тому

      Sure :) but probably too high level. Each of the papers would need its own video

  • @tilkesh
    @tilkesh Рік тому

    Thanks

  • @stanislavshubin3447
    @stanislavshubin3447 Рік тому +1

    +