jokieleung / awesome-visual-question-answering
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
☆659Updated last year
Alternatives and similar repositories for awesome-visual-question-answering:
Users that are interested in awesome-visual-question-answering are comparing it to the libraries listed below
- Deep Modular Co-Attention Networks for Visual Question Answering☆449Updated 4 years ago
- A PyTorch reimplementation of bottom-up-attention models☆297Updated 2 years ago
- A lightweight, scalable, and general framework for visual question answering research☆321Updated 3 years ago
- Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome☆1,441Updated 2 years ago
- A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures…☆294Updated 6 months ago
- Recent Advances in Vision and Language PreTrained Models (VL-PTMs)☆1,149Updated 2 years ago
- Strong baseline for visual question answering☆239Updated last year
- This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP☆413Updated 2 years ago
- PyTorch bottom-up attention with Detectron2☆231Updated 3 years ago
- PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".☆942Updated 2 years ago
- awesome grounding: A curated list of research papers in visual grounding☆1,052Updated last year
- Grid features pre-training code for visual question answering☆268Updated 3 years ago
- Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"☆787Updated 3 years ago
- ☆474Updated 2 years ago
- Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101☆234Updated 2 years ago
- A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).☆566Updated last year
- Oscar and VinVL☆1,042Updated last year
- image scene graph generation benchmark☆394Updated 2 years ago
- Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".☆740Updated last year
- An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.☆756Updated 11 months ago
- BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models☆349Updated 5 years ago
- Bilinear attention networks for visual question answering☆545Updated last year
- Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"☆531Updated last year
- Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)☆465Updated 3 years ago
- Multi Task Vision and Language☆804Updated 3 years ago
- Code for paper "Attention on Attention for Image Captioning". ICCV 2019☆333Updated 3 years ago
- ☆220Updated 2 years ago
- Vision-Language Pre-training for Image Captioning and Question Answering☆417Updated 3 years ago
- ☆373Updated 3 years ago
- An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER☆163Updated 2 years ago