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ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix A. Wichmann
Wieland Brendel
Published in:
ICLR (2019)
Keyphrases
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texture information
computational efficiency
high accuracy
shape model
shape from texture
classification accuracy
gray level
video objects
object recognition
texture features
shape descriptors
texture images
surface orientation
surface shape
texture model
surface properties