#ai-spatial-robustness
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TL; DR by carefully selecting where to put aliasing mitigation in a CNN it is possible to limit anti-aliasing information loss. Aliasing negatively...
The last two posts (1, 2) I published were on the topic of spatial robustness, i.e. the stability of a neural network prediction with respect to small...
TL; DR Many operations in a typical convolutional neural network down-sample the signal without accounting for aliasing. Aliasing causes frequency...
TL; DR Image classification model (probably vision models in general) are spatially brittle. Small combination of rotation and translation can...
