KaihuaTang / VQA2.0-Recent-Approachs-2018.pytorch
A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0
☆292Updated last month
Related projects: ⓘ
- MUREL (CVPR 2019), a multimodal relational reasoning module for VQA☆194Updated 4 years ago
- ☆220Updated 2 years ago
- BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models☆341Updated 4 years ago
- Automatic image captioning model based on Caffe, using features from bottom-up attention.☆243Updated last year
- Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"☆178Updated 3 years ago
- Deep Modular Co-Attention Networks for Visual Question Answering☆438Updated 3 years ago
- Strong baseline for visual question answering☆238Updated last year
- A lightweight, scalable, and general framework for visual question answering research☆318Updated 3 years ago
- [ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering☆205Updated 5 years ago
- Code for paper "Attention on Attention for Image Captioning". ICCV 2019☆325Updated 3 years ago
- ☆183Updated 5 years ago
- PyTorch implementation of Image captioning with Bottom-up, Top-down Attention☆160Updated 5 years ago
- Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101☆231Updated last year
- Code for Unsupervised Image Captioning☆215Updated last year
- Grid features pre-training code for visual question answering☆268Updated 3 years ago
- Bilinear attention networks for visual question answering☆540Updated 10 months ago
- Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering☆148Updated 5 years ago
- An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.☆750Updated 6 months ago
- Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering☆104Updated 4 years ago
- ☆470Updated last year
- This project is out of date, I don't remember the details inside...☆85Updated 6 years ago
- Image Caption metrics: Bleu、Cider、Meteor、Rouge、Spice☆98Updated 5 years ago
- A PyTorch reimplementation of bottom-up-attention models☆291Updated 2 years ago
- Bottom-up features extractor implemented in PyTorch.☆71Updated 4 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
- PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"☆488Updated 2 years ago
- PyTorch bottom-up attention with Detectron2☆229Updated 2 years ago
- MAttNet: Modular Attention Network for Referring Expression Comprehension☆292Updated last year
- Use transformer for captioning☆156Updated 5 years ago
- PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"☆288Updated 4 years ago