ROLL-VideoQA
VideoQA model
A PyTorch-based model for answering questions about videos based on unseen scenes and storylines
PyTorch code for ROLL, a knowledge-based video story question answering model.
19 stars
3 watching
4 forks
Language: Python
last commit: about 4 years ago knowledge-based-reasoningvideo-question-answeringvideo-understandingvisual-question-answering
Related projects:
Repository | Description | Stars |
---|---|---|
cadene/vqa.pytorch | A PyTorch implementation of visual question answering with multimodal representation learning | 716 |
jayleicn/tvqa | PyTorch implementation of video question answering system based on TVQA dataset | 172 |
hitvoice/drqa | Implementing reading comprehension from Wikipedia questions to answer open-domain queries using PyTorch and SQuAD dataset | 401 |
markdtw/vqa-winner-cvprw-2017 | Implementations and tools for training and fine-tuning a visual question answering model based on the 2017 CVPR workshop winner's approach. | 164 |
jayleicn/clipbert | An efficient framework for end-to-end learning on image-text and video-text tasks | 704 |
makarandtapaswi/movieqa_cvpr2016 | This project explores question-answering in movies using various machine learning approaches. | 80 |
akirafukui/vqa-mcb | A software framework for training and deploying multimodal visual question answering models using compact bilinear pooling. | 222 |
hengyuan-hu/bottom-up-attention-vqa | An implementation of a VQA system using bottom-up attention, aiming to improve the efficiency and speed of visual question answering tasks. | 754 |
gt-vision-lab/vqa_lstm_cnn | A Visual Question Answering model using a deeper LSTM and normalized CNN architecture. | 376 |
milvlg/prophet | An implementation of a two-stage framework designed to prompt large language models with answer heuristics for knowledge-based visual question answering tasks. | 267 |
mbzuai-oryx/video-chatgpt | A video conversation model that generates meaningful conversations about videos using large vision and language models | 1,213 |
zcyang/imageqa-san | This project provides code for training image question answering models using stacked attention networks and convolutional neural networks. | 107 |
xiaoman-zhang/pmc-vqa | A medical visual question-answering dataset and toolkit for training models to understand medical images and instructions. | 174 |
codeslake/pvdnet | An open-source implementation of a deep learning model for video deblurring and motion estimation. | 114 |
pasqal-io/pyqtorch | A PyTorch-based simulator for quantum machine learning | 45 |