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Found 5 papers, 1 papers with code
Egocentric Hierarchical Visual Semantics
We achieve this goal by implementing an algorithm which, for any object, recursively recognizes its visual genus and its visual differentia.
Lifelong Personal Context Recognition
We focus on the development of AIs which live in lifelong symbiosis with a human.
Learning compositional programs with arguments and sampling
We showcase the potential of our approach by learning the Quicksort algorithm, showing how the ability to deal with arguments is crucial for learning and generalization.
Towards Visual Semantics
In this paper we provide a theory and an algorithm for how to build substance concepts which are in a one-to-one correspondence with classifications concepts, thus paving the way to the seamless integration between natural language descriptions and visual perception.
Continual egocentric object recognition
We present a framework capable of tackilng the problem of continual object recognition in a setting which resembles that under whichhumans see and learn.
