Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases

no code implementations • Data 2023 • Panchal Sachin, Ankita Naik, Manesh Kokare, Samiksha Pachade, Rushikesh Naigaonkar, Prerana Phadnis, and Archana Bhange.

This dataset would be significant for the research and development of artificial intelligence in ophthalmology.

Knowledge Base Question Answering by Case-based Reasoning over Subgraphs

1 code implementation • 22 Feb 2022 • Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum

Question answering (QA) over knowledge bases (KBs) is challenging because of the diverse, essentially unbounded, types of reasoning patterns needed.

Knowledge Base Question Answering

Shallow-UWnet : Compressed Model for Underwater Image Enhancement

1 code implementation • 6 Jan 2021 • Ankita Naik, Apurva Swarnakar, Kartik Mittal

Over the past few decades, underwater image enhancement has attracted increasing amount of research effort due to its significance in underwater robotics and ocean engineering.

Benchmarking Image Enhancement