4 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains
Soumava Paul, Titir Dutta, Soma Biswas
In this work, for the first time, we address the problem of universal cross-domain retrieval, where the test data can belong to classes or domains which are unseen during training.…
SML: Semantic Meta-learning for Few-shot Semantic Segmentation
Ayyappa Kumar Pambala, Titir Dutta, Soma Biswas
The significant amount of training data required for training Convolutional Neural Networks has become a bottleneck for applications like semantic segmentation. Few-shot semantic s…
Unified Generator-Classifier for Efficient Zero-Shot Learning
Ayyappa Kumar Pambala, Titir Dutta, Soma Biswas
Generative models have achieved state-of-the-art performance for the zero-shot learning problem, but they require re-training the classifier every time a new object category is enc…