4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2021
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.…
cs.CV2020★ 3 cited
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…
cs.CV2019★ 4 cited
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…