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Updated: Jul 9, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
Published on: December 15, 2023
For deep networks, the whole equals the sum of the parts
Philip J Kellman1, Nicholas Baker2, Patrick Garrigan3
1Department of Psychology and David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA kellman@cognet.ucla.edu; https://kellmanlab.psych.ucla.edu/.
Abstract:
Deep convolutional networks exceed humans in sensitivity to local image properties, but unlike biological vision systems, do not discover and encode abstract relations that capture important properties of objects and events in the world. Coupling network architectures with additional machinery for encoding abstract relations will make deep networks better models of human abilities and more versatile and capable artificial devices.
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