no code implementations • 29 Jul 2023 • Prateek Keserwani, Taveena Lotey, Rohit Keshari, Partha Pratim Roy
It raises a critical question: Is there a need for separate training for new scripts?
no code implementations • 6 Oct 2021 • Pavani Tripathi, Yasmeena Akhter, Mahapara Khurshid, Aditya Lakra, Rohit Keshari, Mayank Vatsa, Richa Singh
We present deep learning-based eye segmentation and multitask network classification networks for cataract detection using NIR images as input.
no code implementations • 8 Aug 2020 • Rohit Keshari, Soumyadeep Ghosh, Saheb Chhabra, Mayank Vatsa, Richa Singh
However, there are a lot of \textit{small sample size or $S^3$} problems for which it is not feasible to collect large training databases.
1 code implementation • CVPR 2020 • Rohit Keshari, Richa Singh, Mayank Vatsa
A well trained and generalized deep neural network (DNN) should be robust to both seen and unseen classes.
no code implementations • 10 Dec 2018 • Rohit Keshari, Richa Singh, Mayank Vatsa
Dropout is often used in deep neural networks to prevent over-fitting.
no code implementations • CVPR 2018 • Rohit Keshari, Mayank Vatsa, Richa Singh, Afzel Noore
The architecture provides the flexibility of training with both small and large training databases and yields good accuracies even with small size training data.
no code implementations • 30 Jan 2018 • Aditya Lakra, Pavani Tripathi, Rohit Keshari, Mayank Vatsa, Richa Singh
This paper presents an efficient iris segmentation algorithm with variations due to cataract and post cataract surgery.