Alternatives and similar repositories for VQA-Demo-GUI

Users that are interested in VQA-Demo-GUI are comparing it to the libraries listed below

• iamaaditya / VQA_Demo
  Visual Question Answering Demo on pretrained model
  ☆245Updated 3 years ago
• ajamjoom / Image-Captions
  BERT + Image Captioning
  ☆132Updated 4 years ago
• DenisDsh / VizWiz-VQA-PyTorch
  PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind P…
  ☆60Updated 6 years ago
• yashk2810 / Image-Captioning
  Image Captioning using InceptionV3 and beam search
  ☆329Updated 5 years ago
• Cadene / vqa.pytorch
  Visual Question Answering in Pytorch
  ☆731Updated 5 years ago
• njchoma / transformer_image_caption
  Image Captioning based on Bottom-Up and Top-Down Attention model
  ☆103Updated 6 years ago
• ntrang086 / image_captioning
  generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
  ☆80Updated 7 years ago
• jiasenlu / NeuralBabyTalk
  Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
  ☆525Updated 6 years ago
• Div99 / Image-Captioning
  Image Captioning with Keras
  ☆64Updated 5 years ago
• batra-mlp-lab / visdial-challenge-starter-pytorch
  Starter code in PyTorch for the Visual Dialog challenge
  ☆192Updated 2 years ago
• hengyuan-hu / bottom-up-attention-vqa
  An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
  ☆759Updated last year
• VedantYadav / VQA
  VQA - Visual Question Answering
  ☆14Updated 8 years ago
• jnhwkim / ban-vqa
  Bilinear attention networks for visual question answering
  ☆545Updated last year
• parksunwoo / show_attend_and_tell_pytorch
  Pytorch implement Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  ☆95Updated 6 years ago
• jiasenlu / HieCoAttenVQA
  ☆350Updated 6 years ago
• Shivanshu-Gupta / Visual-Question-Answering
  CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering
  ☆75Updated 5 years ago
• Cyanogenoid / pytorch-vqa
  Strong baseline for visual question answering
  ☆240Updated 2 years ago
• poojahira / image-captioning-bottom-up-top-down
  PyTorch implementation of Image captioning with Bottom-up, Top-down Attention
  ☆166Updated 6 years ago
• InnerPeace-Wu / densecap-tensorflow
  Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after…
  ☆61Updated 6 years ago
• lmelvix / visual-question-answering-tensorflow
  Stacked attention network for answering open-ended questions about image
  ☆12Updated 7 years ago
• anantzoid / VQA-Keras-Visual-Question-Answering
  Visual Question Answering task written in Keras that answers questions about images
  ☆155Updated 6 years ago
• anuragmishracse / caption_generator
  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
• peteanderson80 / Up-Down-Captioner
  Automatic image captioning model based on Caffe, using features from bottom-up attention.
  ☆247Updated 2 years ago
• TingAnChien / san-vqa-tensorflow
  ☆20Updated 6 years ago
• tbmoon / basic_vqa
  Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)
  ☆96Updated 2 years ago
• Cyanogenoid / vqa-counting
  [ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering
  ☆207Updated 6 years ago
• Shobhit20 / Image-Captioning
  Image Captioning: Implementing the Neural Image Caption Generator with python
  ☆63Updated 7 years ago
• DeepRNN / image_captioning
  Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
  ☆797Updated 3 years ago
• vsubhashini / noc
  Novel Object Captioner - Captioning Images with diverse objects
  ☆41Updated 7 years ago
• coldmanck / show-attend-and-tell
  [Python 3] Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
  ☆65Updated 7 years ago