Learning with an Evolving Class Ontology. (arXiv:2210.04993v1 [cs.CV])

Lifelong learners must recognize concept vocabularies that evolve over time.
A common yet underexplored scenario is learning with class labels over time
that refine/expand old classes. For example, humans learn to recognize ${\tt
dog}$ before dog breeds. In practical settings, dataset $\textit{versioning}$
often introduces refinement to ontologies, such as autonomous vehicle
benchmarks that refine a previous ${\tt vehicle}$ class into ${\tt school-bus}$
as autonomous operations expand to new cities. This paper formalizes a protocol
for studying the problem of $\textit{Learning …

arxiv ontology