Sukhendu Das

Domain adaptation using weighted sub-space sampling for object categorization

2015

This paper describes a method of cross-domain object categorization, using the concept of domain adaptation. Here, a classifier is trained using samples from the source/auxiliary domain and performance is observed on a set of test …

Stochastic Binary Network for Universal Domain Adaptation

2024

Universal domain adaptation (UniDA) is the unsupervised domain adaptation with label shift. UniDA aims to classify unlabeled target samples into one of the "known" categories or into a single "unknown" category. Its main challenge lies …