77 citations · 155 across the 20 of their papers we have counts for
4 papers · 1 filter
Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation
Megh Manoj Bhalerao, Anurag Singh, Soma Biswas
Semi-supervised domain adaptation aims to classify data belonging to a target domain by utilizing a related label-rich source domain and very few labeled examples of the target dom…
Test-time Training for Data-efficient UCDR
Soumava Paul, Titir Dutta, Aheli Saha +2
Image retrieval under generalized test scenarios has gained significant momentum in literature, and the recently proposed protocol of Universal Cross-domain Retrieval is a pioneer…
Novel Class Discovery without Forgetting
K J Joseph, Sujoy Paul, Gaurav Aggarwal +4
Humans possess an innate ability to identify and differentiate instances that they are not familiar with, by leveraging and adapting the knowledge that they have acquired so far. I…
Spacing Loss for Discovering Novel Categories
K J Joseph, Sujoy Paul, Gaurav Aggarwal +4
Novel Class Discovery (NCD) is a learning paradigm, where a machine learning model is tasked to semantically group instances from unlabeled data, by utilizing labeled instances fro…