FSL Model can Score Higher as It Is

arXiv:2402.18292v1 Announce Type: cross
Abstract: In daily life, we tend to present the front of our faces by staring squarely at a facial recognition machine, instead of facing it sideways, in order to increase the chance of being correctly recognised. Few-shot-learning (FSL) classification is challenging in itself because a model has to identify images that belong to classes previously unseen during training. Therefore, a warped and non-typical query or support image during testing can make it even more challenging for …

abstract arxiv chance classification cs.ai cs.cv cs.lg daily facial recognition few-shot life machine recognition type