tbmoon / basic_vqaLinks
Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)
☆98Updated 2 years ago
Alternatives and similar repositories for basic_vqa
Users that are interested in basic_vqa are comparing it to the libraries listed below
Sorting:
- CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering☆77Updated 5 years ago
- Strong baseline for visual question answering☆240Updated 2 years ago
- PyTorch implementation of Image captioning with Bottom-up, Top-down Attention☆168Updated 7 years ago
- Implementation of the Object Relation Transformer for Image Captioning☆180Updated last year
- PyTorch bottom-up attention with Detectron2☆238Updated 4 years ago
- Transformer-based image captioning extension for pytorch/fairseq☆318Updated 5 years ago
- Deep Modular Co-Attention Networks for Visual Question Answering☆456Updated 5 years ago
- Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101☆239Updated 3 years ago
- Code for paper "Attention on Attention for Image Captioning". ICCV 2019☆338Updated 4 years ago
- An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER☆165Updated 3 years ago
- This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP☆411Updated 3 years ago
- BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models☆357Updated 6 years ago
- Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]☆274Updated 4 years ago
- A PyTorch reimplementation of bottom-up-attention models☆304Updated 3 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
- Python 3 support for the MS COCO caption evaluation tools☆334Updated last year
- PyTorch Implementation of Knowing When to Look: Adaptive Attention via a Visual Sentinal for Image Captioning☆87Updated 5 years ago
- Grid features pre-training code for visual question answering☆269Updated 4 years ago
- A lightweight, scalable, and general framework for visual question answering research☆330Updated 4 years ago
- A PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention☆86Updated 6 years ago
- An updated PyTorch implementation of hengyuan-hu's version for 'Bottom-Up and Top-Down Attention for Image Captioning and Visual Question…☆35Updated 3 years ago
- ☆219Updated 3 years ago
- Bottom-up features extractor implemented in PyTorch.☆72Updated 6 years ago
- Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"☆187Updated 4 years ago
- Meshed-Memory Transformer for Image Captioning. CVPR 2020☆541Updated 3 years ago
- Using LSTM or Transformer to solve Image Captioning in Pytorch☆79Updated 4 years ago
- Compact Trilinear Interaction for Visual Question Answering (ICCV 2019)☆38Updated 3 years ago
- Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)☆134Updated last year
- Image Captioning Using Transformer☆271Updated 3 years ago
- BERT + Image Captioning☆135Updated 5 years ago