anujshah1003 / VQA-Demo-GUILinks
This repository gives a GUI using PyQt4 for VQA demo using Keras Deep Learning Library. The VQA model is created using Pre-trained VGG-16 Weight for image Features and glove vectors for question Features.
☆46Updated 4 years ago
Alternatives and similar repositories for VQA-Demo-GUI
Users that are interested in VQA-Demo-GUI are comparing it to the libraries listed below
Sorting:
- Visual Question Answering Demo on pretrained model☆247Updated 2 months ago
- BERT + Image Captioning☆135Updated 5 years ago
- Image Captioning with Keras☆64Updated 5 years ago
- PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind P…☆62Updated 7 years ago
- Visual Question Answering in Pytorch☆734Updated 6 years ago
- Image Captioning using InceptionV3 and beam search☆328Updated 5 years ago
- Image Captioning based on Bottom-Up and Top-Down Attention model☆104Updated 7 years ago
- CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering☆77Updated 5 years ago
- Starter code in PyTorch for the Visual Dialog challenge☆189Updated 2 years ago
- generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset☆81Updated 7 years ago
- Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after…☆60Updated 6 years ago
- Strong baseline for visual question answering☆240Updated 2 years ago
- ☆351Updated 7 years ago
- Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)☆98Updated 2 years ago
- [EMNLP 2018] Training for Diversity in Image Paragraph Captioning☆91Updated 6 years ago
- Stacked attention network for answering open-ended questions about image☆12Updated 7 years ago
- VQA - Visual Question Answering☆14Updated 9 years ago
- A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.☆266Updated 7 years ago
- Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"☆525Updated 6 years ago
- Automatic image captioning model based on Caffe, using features from bottom-up attention.☆249Updated 2 years ago
- Novel Object Captioner - Captioning Images with diverse objects☆42Updated 8 years ago
- Pytorch implement Show, Attend and Tell: Neural Image Caption Generation with Visual Attention☆95Updated 7 years ago
- CloudCV Visual Question Answering Demo☆67Updated 3 years ago
- PyTorch implementation of Image captioning with Bottom-up, Top-down Attention☆168Updated 7 years ago
- [ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering☆207Updated 6 years ago
- Unofficial tensorflow implementation of "Bottom-up and Top-down attention for VQA" (TF v. 1.13)☆39Updated 5 years ago
- Bilinear attention networks for visual question answering☆547Updated 2 years ago
- Code for GHA (ACCV2018)☆13Updated 7 years ago
- Visual Question Answering through modal dialogue + API☆15Updated 3 years ago
- ☆20Updated 6 years ago