Lifelong Wandering: A realistic few-shot online continual learning setting. (arXiv:2206.07932v1 [cs.CV])

Web: http://arxiv.org/abs/2206.07932

Online few-shot learning describes a setting where models are trained and
evaluated on a stream of data while learning emerging classes. While prior work
in this setting has achieved very promising performance on instance
classification when learning from data-streams composed of a single indoor
environment, we propose to extend this setting to consider object
classification on a series of several indoor environments, which is likely to
occur in applications such as robotics. Importantly, our setting, which we
refer to as …

arxiv continual cv learning online