5 citations · 6 across the 3 of their papers we have counts for
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cs.CV2021★ 5 cited
Learning Interpretable Concept Groups in CNNs
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen +4
We propose a novel training methodology -- Concept Group Learning (CGL) -- that encourages training of interpretable CNN filters by partitioning filters in each layer into concept…
cs.CV2018
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks
Andreas Kölsch, Ashutosh Mishra, Saurabh Varshneya +2
This paper introduces a very challenging dataset of historic German documents and evaluates Fully Convolutional Neural Network (FCNN) based methods to locate handwritten annotation…