no code implementations • NeurIPS 2021 • Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
Unsupervised domain adaptation which aims to adapt models trained on a labeled source domain to a completely unlabeled target domain has attracted much attention in recent years.
Ranked #2 on Unsupervised Domain Adaptation on UCF-HMDB
no code implementations • 6 Dec 2020 • Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das
Partial domain adaptation which assumes that the unknown target label space is a subset of the source label space has attracted much attention in computer vision.
Ranked #1 on Partial Domain Adaptation on Office-31
1 code implementation • 12 Aug 2020 • Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogerio Feris, Abir Das
In this work we address these questions from the perspective of dataset imbalance resulting out of severe under-representation of annotated training data for certain classes and its effect on both deep classification and generation methods.