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Some thing interesting about vqa-dataset
Some thing interesting about vqa-dataset
vqa-dataset,Visual Question Answering in the Medical Domain VQA-Med 2019
User: abachaa
vqa-dataset,VQA-Med 2021
User: abachaa
vqa-dataset,Medical Report Generation And VQA (Adapting XrayGPT to Any Modality)
User: abdur75648
Home Page: https://abdur75648.github.io/MedicalGPT/
vqa-dataset,Deep Learning Web app that responds to any question about an image.
User: anshdesai
vqa-dataset,Visual Question Generation reading list
User: badripatro
vqa-dataset,SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.
Organization: camma-public
Home Page: http://camma.u-strasbg.fr/datasets
vqa-dataset,
User: chandrakanthm
vqa-dataset,CloudCV Visual Question Answering Demo
Organization: cloud-cv
Home Page: https://vqa.cloudcv.org/
vqa-dataset,This repository contains the data and code of the paper titled "IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models"
User: csebuetnlp
Home Page: https://illusionvqa.github.io/
vqa-dataset,Visual Question Answering (VQA)
User: cserajdeep
vqa-dataset,Part of our final year project work involving complex NLP tasks along with experimentation on various datasets and different LLMs
User: dinesh-kumar-mr
vqa-dataset,SciGraphQA
User: findalexli
Home Page: https://arxiv.org/abs/2308.03349
vqa-dataset,B.Sc. Final Project: LXMERT Model Compression for Visual Question Answering.
User: ghazaleh-mahmoodi
vqa-dataset,MAVERICS (Manually-vAlidated Vq^2a Examples fRom Image-Caption datasetS) is a suite of test-only benchmarks for visual question answering (VQA).
Organization: google-research-datasets
vqa-dataset,How well do the GPT-4V, Gemini Pro Vision, and Claude 3 Opus models perform zero-shot vision tasks on data structures?
User: gutbash
vqa-dataset,Investigation on VQA dataset. TensorFlow is utilized for the implementation of a solution based on CNN and RNN architectures plus some ideas such as Attention and Positional features.
User: iams4n
vqa-dataset,
User: jiayi-wei
vqa-dataset,Egunean Behin Visual Question Answering Dataset
User: juletx
vqa-dataset,Counterfactual Reasoning VQA Dataset
User: letian2003
Home Page: https://arxiv.org/abs/2310.06627
vqa-dataset,Multi-page document understanding and VQA using OCR-free method
User: lisamalani
vqa-dataset,The Visual Question Answering (VQA) project features a model with a simple GUI that handles both images and videos. It uses OpenAI's CLIP for encoding images and questions and GPT-2 for decoding embeddings to answer questions based on the VQA Version 2 dataset, which includes 265,016 images with multiple questions and answers.
User: muhammadshavaiz
vqa-dataset,VQA Challenge - hosted on Hasura using Flask
User: radonys
Home Page: https://app.debris23.hasura-app.io/
vqa-dataset,Visual Question Answer (VQA) software! Powered by Flask, this project seamlessly combines images and questions to generate accurate responses. Explore the world of interactive visual understanding with ease.
User: shivam1423
vqa-dataset,[CVPR2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
Organization: sutdcv
Home Page: https://sutdcv.github.io/SUTD-TrafficQA/
vqa-dataset,Streamlit app for demonstrating multi-modal(vision+language) modelling in Pytorch.
User: thataverageguy
vqa-dataset,This repo implements attention networks for visual question answering
User: vibhujawa
vqa-dataset,The Easy Visual Question Answering dataset.
User: vzhou842
Home Page: https://pypi.org/project/easy-vqa/
vqa-dataset,A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
User: vztu
Home Page: https://ieeexplore.ieee.org/document/9405420
vqa-dataset,CLEVR3D Dataset: Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation
User: yanx27
vqa-dataset,A Light weight deep learning model with with a web application to answer image-based questions with a non-generative approach for the VizWiz grand challenge 2023 by carefully curating the answer vocabulary and adding linear layer on top of Open AI's CLIP model as image and text encoder
User: yousefkotp
vqa-dataset,A real-time Visual Question Answering Framework
User: zeryabmoussaoui
vqa-dataset,
User: zeryabmoussaoui
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