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Search results for pytorch visual question answering

visual-question-answering x

17 search results found

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

Prophet ⭐ 179

Implementation of CVPR 2023 paper "Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering".

Vqa Winner Cvprw 2017 ⭐ 160

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

Awesome Computer Vision Resources ⭐ 70

a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。

Relationnetworks Clevr ⭐ 60

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

Bottom Up Features ⭐ 44

Bottom-up features extractor implemented in PyTorch.

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

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

Trar Vqa ⭐ 23

This is the official pytorch implementation for our ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering" on VQA Task

Mid-level PyTorch Based Framework for 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

Film Pytorch ⭐ 11

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

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