Topic: "vizwiz-vqa"
RachanaJayaram/Cross-Attention-VizWiz-VQA
A self-evident application of the VQA task is to design systems that aid blind people with sight reliant queries. The VizWiz VQA dataset originates from images and questions compiled by members of the visually impaired community and as such, highlights some of the challenges presented by this particular use case.
Language: Python - Size: 2.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 6

Konic-NLP/5922-deep-learning
A repo for CSCI 5922 deep learning course works, including MNIST classification, Cifar-10 classification and VizWiz VQA challenge
Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

lukezumwalt/VizWiz
VizWiz Visual QA Answerability and Classification Model
Language: Python - Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

reshalfahsi/vqa-clip-lstm
Visual Question Answering Using CLIP + LSTM
Language: Jupyter Notebook - Size: 4.67 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

atharva-naik/MMML-TermProject-VizWiz-VQA-Challenge
VizWiz Challenge Term Project for Multi Modal Machine Learning @ CMU (11777)
Language: Python - Size: 90.6 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yousefkotp/Visual-Question-Answering
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
Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

nanom/textMining2021
Code for the 2021 Text Mining Course, taught by Dra. Laura Alonso Alemanny
Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
