Consistent Augmentation Learning for Generalizing CLIP to Unseen Domains
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3479691
Abstract: Domain generalization (DG) is a challenging transfer learning task focused on learning invariant knowledge from limited source domains, thereby enhancing generalization to the out-of-distribution data in unseen domains. Recent advancements in vision-language models (VLMs) have… read more here.
Keywords: unseen domains; augmentation learning; consistent augmentation; clip ... See more keywords
Semisupervised Learning-Based SAR ATR via Self-Consistent Augmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3013968
Abstract: In synthetic aperture radar (SAR) automatic target recognition, it is expensive and time-consuming to annotate the targets. Thus, training a network with a few labeled data and plenty of unlabeled data attracts attention of many… read more here.
Keywords: consistent augmentation; learning based; loss; augmentation ... See more keywords