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Search results for vqa visual question answering

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32 search results found

Bottom Up Attention ⭐ 979

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

Ban Vqa ⭐ 527

Bilinear attention networks for visual question answering

Tbd Nets ⭐ 335

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

Openvqa ⭐ 225

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

Pytorch Vqa ⭐ 213

Strong baseline for visual question answering

Mcan Vqa ⭐ 181

Deep Modular Co-Attention Networks for Visual Question Answering

Vqa Winner Cvprw 2017 ⭐ 160

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

Frozenbilm ⭐ 120

[NeurIPS 2022] Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

Just Ask ⭐ 101

[ICCV 2021 Oral + TPAMI] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

Bottom Up Features ⭐ 44

Bottom-up features extractor implemented in PyTorch.

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

Convolutional Vqa ⭐ 38

Self_critical_vqa ⭐ 37

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

Dual Mfa Vqa ⭐ 33

Co-attending Regions and Detections for VQA.

Visual Question Answering ⭐ 32

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

Vizwiz Vqa Pytorch ⭐ 29

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

Miccai19 Medvqa ⭐ 27

AIOZ AI - Overcoming Data Limitation in Medical Visual Question Answering

Figureqa Baseline ⭐ 23

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

Mid-level PyTorch Based Framework for Visual Question Answering.

Visual Question Answering ⭐ 20

📷 ❓ Visual Question Answering Demo and Algorithmia API

Korean Visual Question Answering

[Paper][IJCKG 2022] LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection

Aoa Pytorch ⭐ 13

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

Easy Vqa ⭐ 12

The Easy Visual Question Answering dataset.

Knowit Rock ⭐ 12

ROCK model for Knowledge-Based VQA in Videos

Vqa Med 2020 ⭐ 10

Awesome Vqg ⭐ 9

Visual Question Generation reading list

Visual Question Answering ⭐ 8

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

Bilinear Attention Networks for Korean Visual Question Answering

Visual Question Answering System

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