CO-ATTENTION MECHANISM WITH MULTI-MODAL FACTORIZED BILINEAR POOLING FOR MEDICAL IMAGE QUESTION ANSWERING

Domain:

healthcare

Record type:

paperposter

CO-ATTENTION MECHANISM WITH MULTI-MODAL FACTORIZED BILINEAR POOLING FOR MEDICAL IMAGE QUESTION ANSWERING

Poster presented at the Deep Learning Indaba 2022 by Volviane Saphir MFOGO

Visit

storage.googleapis.com

Tasks

question answering

Text Representation Enhancement using multi-modal attention mechanism for Text Visual Question Answering

Text Representation Enhancement using multi-modal attention mechanism for Text Visual Question Answering

Poster presented at the Deep Learning Indaba 2022 by Esther Oduntan

Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification

Convolutional Neural Networks (CNN) are more suitable, indeed. However, fixed kernel sizes make trad

AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset

Recent advancements in large language model(LLM) performance on medical multiple choice question (MC

varalakshmi060902/Multi-modal-image-processing

This project focuses on the detection and segmentation of brain tumors using multi-modal MRI data fr