Web: http://arxiv.org/abs/2206.11736

June 24, 2022, 1:10 a.m. | Patrick Feeney (1), Sarah Schneider (1 and 2), Panagiotis Lymperopoulos (1), Liping Liu (1), Matthias Scheutz (1), Michael C. Hughes (1) ((1) Dept. of

cs.LG updates on arXiv.org arxiv.org

In order for artificial agents to perform useful tasks in changing
environments, they must be able to both detect and adapt to novelty. However,
visual novelty detection research often only evaluates on repurposed datasets
such as CIFAR-10 originally intended for object classification. This practice
restricts novelties to well-framed images of distinct object types. We suggest
that new benchmarks are needed to represent the challenges of navigating an
open world. Our new NovelCraft dataset contains multi-modal episodic data of
the images …

arxiv cv dataset detection discovery open

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