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Quantifying Learnability and Describability of Visual Concepts Emerging
  in Representation Learning

Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning

27 October 2020
Iro Laina
Ruth C. Fong
Andrea Vedaldi
    OCL
ArXivPDFHTML

Papers citing "Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning"

3 / 3 papers shown
Title
Neural Naturalist: Generating Fine-Grained Image Comparisons
Neural Naturalist: Generating Fine-Grained Image Comparisons
Maxwell Forbes
Christine Kaeser-Chen
Piyush Sharma
Serge J. Belongie
VLM
62
53
0
09 Sep 2019
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
207
291
0
01 May 2018
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
147
113
0
13 Jul 2016
1