Search Results for author: Jay N. Paranjape

Found 4 papers, 2 papers with code

AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation

1 code implementation7 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.

Scene Segmentation Segmentation

Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

1 code implementation31 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.

Unsupervised Domain Adaptation

Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense

no code implementations2 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.

Adversarial Defense

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