ECCV paper on visualization of invariances in convnets

featurevis.pngThe final version of our ECCV 2018 paper on visualizing invariances in convolutional neural networks is available. We find that early and mid-level convolutional layers in VGG-19 exhibit various forms of response invariance: near-perfect phase invariance in some units and invariance to local diffeomorphic transformations in others. At the same time, we uncover representational differences with ResNet-50 in its corresponding layers.

Work with Santiago Cadena, Marissa Weis, Leon Gatys and Matthias Bethge.


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