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Franziska Geiger

2 accepted papers

2022

Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream

ICLR 2022spotlight

After training on large datasets, certain deep neural networks are surprisingly good models of the neural mechanisms of adult primate visual object recognition. Nevertheless, these models are considered poor models of the development of the visual system because they posit millions of sequential, pr…

Cited by 15SourcePDFScholar
2020

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations

NeurIPS 2020spotlight

Current state-of-the-art object recognition models are largely based on convolutional neural network (CNN) architectures, which are loosely inspired by the primate visual system. However, these CNNs can be fooled by imperceptibly small, explicitly crafted perturbations, and struggle to recognize obj…