codewithFlycat

codewithFlycat

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Visual-Question-Answering-MultiModular-Architecture

Featurization of image and question, Feature fusion, Answer generation for Multimodal System

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CVPR2022-Papers-with-Code-Demo

收集 CVPR 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!

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VQA-AttReg

This is an official PyTorch implementation of “Answer Questions with Right Image Regions: A Visual Attention Regularization Approach” (https://arxiv.org/abs/2102.01916).

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athena

:notebook:Java后端知识图谱

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DPT

The code of IJCAI2022 paper, Declaration-based Prompt Tuning for Visual Question Answering

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MuKEA

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

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OFA

Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

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Transformer-in-Computer-Vision

A paper list of some recent Transformer-based CV works.

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PureT

Implementation of 'End-to-End Transformer Based Model for Image Captioning' [AAAI 2022]

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xmodaler

X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).

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go-fundamental-programming

《Go 编程基础》是一套针对 Google 出品的 Go 语言的视频语音教程,主要面向新手级别的学习者。

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text-similarity

文本相似度(匹配)计算,提供Baseline、训练、推理、指标分析...代码包含TensorFlow/Pytorch双版本

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Scene-Graph-Benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

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Mucko

implementation for Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

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QA-Survey

北航大数据高精尖中心研究张日崇团队对问答系统的总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TabletQA)和基于视觉的问答系统(VisualQA),每类系统分别对学术界和工业界进行总结。

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LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

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react-vqa-master

基于 React + router + redux + axios 和 Flask + MySQL + Pytorch 的视觉问答管理系统

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LeetCode

LeetCode刷题记录与面试整理

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qagnn

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

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seada-vqa

A pytorch implemetation of data augmentation method for visual question answering

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vqa

毕业设计相关-视频问答与理解

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awesome-image-captioning

A curated list of image captioning and related area resources. :-)

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GAT

The implementation of the paper `Geometry Attention Transformers for Image Captioning`

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MeshGraphormer

Research code of ICCV 2021 paper "Mesh Graphormer"

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AdaVQA

Implementation for our IJCAI-21 paper --- AdaVQA: Overcoming Language Priors with Adapted Margin Loss.

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introd

[NeurIPS 2021] Introspective Distillation for Robust Question Answering

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awesome-visual-question-answering

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

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CVPR2021-Papers-with-Code

CVPR 2021 论文和开源项目合集

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