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Found 5 papers, 1 papers with code
A Cognitively-Inspired Neural Architecture for Visual Abstract Reasoning Using Contrastive Perceptual and Conceptual Processing
We introduce a new neural architecture for solving visual abstract reasoning tasks inspired by human cognition, specifically by observations that human abstract reasoning often interleaves perceptual and conceptual processing as part of a flexible, iterative, and dynamic cognitive process.
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play
Research in child development has shown that embodied experience handling physical objects contributes to many cognitive abilities, including visual learning.
A Neurodiversity-Inspired Solver for the Abstraction \& Reasoning Corpus (ARC) Using Visual Imagery and Program Synthesis
Core knowledge about physical objects -- e. g., their permanency, spatial transformations, and interactions -- is one of the most fundamental building blocks of biological intelligence across humans and non-human animals.
Automatic Item Generation of Figural Analogy Problems: A Review and Outlook
Figural analogy problems have long been a widely used format in human intelligence tests.
Variable-Viewpoint Representations for 3D Object Recognition
For the problem of 3D object recognition, researchers using deep learning methods have developed several very different input representations, including "multi-view" snapshots taken from discrete viewpoints around an object, as well as "spherical" representations consisting of a dense map of essentially ray-traced samples of the object from all directions.
