Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3200036
Abstract: Existing solutions to instance-level visual identification usually aim to learn faithful and discriminative feature extractors from offline training data and directly use them for the unseen online testing data. However, their performance is largely limited… read more here.
Keywords: visual identification; metric adaptation; identification; testing samples ... See more keywords