4 papers
Self Training with Ensemble of Teacher Models
Soumyadeep Ghosh, Sanjay Kumar, Janu Verma +1
In order to train robust deep learning models, large amounts of labelled data is required. However, in the absence of such large repositories of labelled data, unlabeled data can b…
Unravelling Small Sample Size Problems in the Deep Learning World
Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra +2
The growth and success of deep learning approaches can be attributed to two major factors: availability of hardware resources and availability of large number of training samples.…
On Learning Density Aware Embeddings
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa
Deep metric learning algorithms have been utilized to learn discriminative and generalizable models which are effective for classifying unseen classes. In this paper, a novel noise…
Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition
Rishabh Garg, Yashasvi Baweja, Soumyadeep Ghosh +3
Mobile biometric approaches provide the convenience of secure authentication with an omnipresent technology. However, this brings an additional challenge of recognizing biometric p…