shenxiang-vqa Goto Github PK

awesome-medical-large-language-models

Curated papers on Large Language Models in Healthcare and Medical domain

deqfusion

PyTorch Implementation of Deep Equilibrium Multimodal Fusion

esl

gfsnet

GFSNet: Gaussian Fourier with Sparse Attention Network for Visual Question Answering

hgcn

lsat

Local self-attention in Transformer for visual question answering

mcan_attention_visualization

attention visualization for mcan-vqa

mccav

medical-ic-vqa

BLIP for Medical Image Captioning and Visual Question Answering

medical_nlp

Medical NLP Competition, dataset, large models, paper 医疗NLP领域 比赛，数据集，大模型，论文，工具包

mutan-for-vqa

This project is to reproduce the resulting code from the paper MUTAN: Multimodal Tucker Fusion for Visual Question Answering, and I will teach you in detail how to run through this code, including the processing of the dataset.

rraf

shenxiang

Local Self-Attention in Transformer for Visual Question Answering

srrn

An effective spatial relational reasoning networks for visual question answering

trar-vqa

[ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"

vqa_clip

VQA is the task of answering open-ended questions based on an image. VQA has many applications: Medical VQA, Education purposes, for surveillance and numerous other applications. In this assignment we will use VizWiz dataset, this dataset was constructed to train models to help visually impaired people.