… online setting for Unsupervised Domain Adaptation for person Re-ID with two main constraints:
Online Adaptation … Despite their relative efficiency, these UDA methods are all based on …

… grapple with severe domain shifts. We coin the term ‘distant domain adaptation problem’ to
… a labeled source domain to a significantly disparate unlabeled target domain. This problem …

… a problem of online domain adaptation for semantic … a model to new frames of target domain
videos. To tackle this … cues as the primary source of domain adaptation. By optimizing online …

… We aim to improve label-efficiency in online regression by exploiting hidden domain structures
in the data. We assume that each input is from one of m potentially overlapping domains. …

… 3 Online Domain Adaptation This section introduces our framework for Online Domain
Adaptation (… [53], efficient training paradigms [40] or selective adaptation can improve this aspect. …

… algorithm to efficiently share parameters and … domain adaptation strategy on the KITTI
tracking benchmark and on a new dataset (PASCAL-to-KITTI) we introduce to study the domain …

… obtained EEG data, the computational efficiency is much better than standard domain
adaptation, and it indicates the capability for the online implementation of the proposed algorithm …

… For GPR, the parameters can be analytically computed in an efficient … online domain
adaptation using GPR. In Section 5, we describe an algorithm to incorporate this domain adaptation …

… This paper proposes both online and offline weighted adaptation … online and offline wAR
algorithms significantly outperform several other algorithms. Moreover, through source domain …

… This signifies not only superior performance but also the efficiency of our approach in online
… This article introduces an online test-time domain adaptation algorithm designed to tackle …