Construct · 1 fields · 1 citations

texture bias: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

ImageNet-trained convolutional networks classify mainly by texture rather than by object shape, unlike human observers.

In machine learning, texture bias refers to imageNet-trained convolutional networks classify mainly by texture rather than by object shape, unlike human observers. This meaning comes from Geirhos (2018) in arXiv.[1]

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Nearby constructs

bias6 fields · 8 citationsjingle · one name, six constructs learning6 fields · 14 citationsjingle · one name, six constructs object4 fields · 8 citationsjingle · one word, four constructs

References

Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F. A., & Brendel, W. (2018). ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. arXiv. https://doi.org/10.48550/arxiv.1811.12231

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