21 citations · 38 across the 2 of their papers we have counts for
4 papers
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh +2
Multi-Source Domain Adaptation (MSDA) deals with the transfer of task knowledge from multiple labeled source domains to an unlabeled target domain, under a domain-shift. Existing m…
Class-Incremental Domain Adaptation
Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat +2
We introduce a practical Domain Adaptation (DA) paradigm called Class-Incremental Domain Adaptation (CIDA). Existing DA methods tackle domain-shift but are unsuitable for learning…
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Rahul M +1
There is a strong incentive to develop versatile learning techniques that can transfer the knowledge of class-separability from a labeled source domain to an unlabeled target domai…
Towards Inheritable Models for Open-Set Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur +2
There has been a tremendous progress in Domain Adaptation (DA) for visual recognition tasks. Particularly, open-set DA has gained considerable attention wherein the target domain c…