Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Bilinear attention networks for visual question answering

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Deep Modular Co-Attention Networks for Visual Question Answering

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

A lightweight, scalable, and general framework for visual question answering research

Strong baseline for visual question answering

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

Bottom-up features extractor implemented in PyTorch.

Code for paper title "Learning Semantic Sentence Embeddings using Pair-wise Discriminator" COLING-2018

CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering

Co-attending Regions and Detections for VQA.

PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019

PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

Real-world photo sequence question answering system

TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

Mid-level PyTorch Based Framework for Visual Question Answering.

📷 ❓ Visual Question Answering Demo and Algorithmia API

Korean Visual Question Answering

PyTorch implementation of FiLM: Visual Reasoning with a General Conditioning Layer

The Easy Visual Question Answering dataset.

Visual Dialog

ROCK model for Knowledge-Based VQA in Videos

Visual Question Answering through modal dialogue (B.Tech Project) + API

A repository of vision and language papers (Still under construction... stay tuned!)

Implementation of the visual question answering model from the paper "Exploring Models and Data for Image Question Answering".

Implementation of the paper "Stacked Attention Networks for Image Question Answering" in Tensorflow