1 code implementation • 7 Aug 2023 • Jay N. Paranjape, Nithin Gopalakrishnan Nair, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel
However, SAM does not generalize well to the medical domain as is without utilizing a large amount of compute resources for fine-tuning and using task-specific prompts.
1 code implementation • 31 Jul 2023 • Jay N. Paranjape, Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula
In this paper, we highlight this domain shift in the commonly performed cataract surgery and propose a novel end-to-end Unsupervised Domain Adaptation (UDA) method called the Barlow Adaptor that addresses the problem of distribution shift without requiring any labels from another domain.
no code implementations • 4 Jun 2020 • Saurav Musunuru, Jay N. Paranjape, Rahul Kumar Dubey, Vijendran G. Venkoparao
There have been many attempts to make deep learning models imitate the biological neural network.
no code implementations • 2 Jun 2020 • Jay N. Paranjape, Rahul Kumar Dubey, Vijendran V Gopalan
Deep neural networks are learning models having achieved state of the art performance in many fields like prediction, computer vision, language processing and so on.