MILVLG / openvqa
A lightweight, scalable, and general framework for visual question answering research
☆321Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for openvqa
- Deep Modular Co-Attention Networks for Visual Question Answering☆443Updated 3 years ago
- Grid features pre-training code for visual question answering☆268Updated 3 years ago
- A PyTorch reimplementation of bottom-up-attention models☆292Updated 2 years ago
- A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures…☆295Updated 3 months ago
- Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101☆231Updated 2 years ago
- Code for paper "Attention on Attention for Image Captioning". ICCV 2019☆328Updated 3 years ago
- ☆474Updated last year
- PyTorch bottom-up attention with Detectron2☆230Updated 2 years ago
- Automatic image captioning model based on Caffe, using features from bottom-up attention.☆244Updated last year
- Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]☆271Updated 3 years ago
- Strong baseline for visual question answering☆238Updated last year
- ☆220Updated 2 years ago
- BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models☆345Updated 4 years ago
- PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".☆935Updated 2 years ago
- Vision-Language Pre-training for Image Captioning and Question Answering☆412Updated 2 years ago
- MUREL (CVPR 2019), a multimodal relational reasoning module for VQA☆195Updated 4 years ago
- PyTorch implementation of Image captioning with Bottom-up, Top-down Attention☆164Updated 5 years ago
- Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"☆784Updated 3 years ago
- This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP☆413Updated 2 years ago
- Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"☆179Updated 3 years ago
- Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., …☆200Updated last year
- Code for Unsupervised Image Captioning☆215Updated last year
- An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER☆163Updated last year
- Meshed-Memory Transformer for Image Captioning. CVPR 2020☆519Updated last year
- [ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383☆401Updated 2 years ago
- Implementation of the Object Relation Transformer for Image Captioning☆176Updated 2 months ago
- Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"☆529Updated last year
- Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).☆195Updated 2 years ago
- Bottom-up features extractor implemented in PyTorch.☆71Updated 4 years ago
- An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.☆754Updated 8 months ago