10 citations · 20 across the 5 of their papers we have counts for
5 papers
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning
Sandipan Sarma, Arijit Sur
Inspired by strategies like Active Learning, it is intuitive that intelligently selecting the training classes from a dataset for Zero-Shot Learning (ZSL) can improve the performan…
Resolving Semantic Confusions for Improved Zero-Shot Detection
Sandipan Sarma, Sushil Kumar, Arijit Sur
Zero-shot detection (ZSD) is a challenging task where we aim to recognize and localize objects simultaneously, even when our model has not been trained with visual samples of a few…
Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
Rohit Kumar Jain, Prasen Kumar Sharma, Sibaji Gaj +2
Knee Osteoarthritis (OA) is a destructive joint disease identified by joint stiffness, pain, and functional disability concerning millions of lives across the globe. It is generall…
Multi-Contextual Design of Convolutional Neural Network for Steganalysis
Brijesh Singh, Arijit Sur, Pinaki Mitra
In recent times, deep learning-based steganalysis classifiers became popular due to their state-of-the-art performance. Most deep steganalysis classifiers usually extract noise res…
Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration
Prasen Kumar Sharma, Ira Bisht, Arijit Sur
Background: Underwater images, in general, suffer from low contrast and high color distortions due to the non-uniform attenuation of the light as it propagates through the water. I…