论文阅读：Learning Visual Question Answering by Bootstrapping Hard Attention

【论文阅读：Learning Visual Question Answering by Bootstrapping Hard Attention】的更多相关文章

论文阅读：Learning Visual Question Answering by Bootstrapping Hard Attention

Learning Visual Question Answering by Bootstrapping Hard Attention Google DeepMind ECCV-2018 2018-08-05 19:24:44 Paper:https://arxiv.org/abs/1808.00300 Introduction: 本文尝试仅仅用 hard attention 的方法来抠出最有用的 feature,进行 VQA 任务的学习. Soft Attention: Existing…

论文笔记：Visual Question Answering as a Meta Learning Task

Visual Question Answering as a Meta Learning Task ECCV 2018 2018-09-13 19:58:08 Paper: http://openaccess.thecvf.com/content_ECCV_2018/papers/Damien_Teney_Visual_Question_Answering_ECCV_2018_paper.pdf 1. Introduction: 本文提出一种新的 VQA 思路,将 meta-learning 结…

Learning Conditioned Graph Structures for Interpretable Visual Question Answering

Learning Conditioned Graph Structures for Interpretable Visual Question Answering 2019-05-29 00:29:43 Paper:http://papers.nips.cc/paper/8054-learning-conditioned-graph-structures-for-interpretable-visual-question-answering.pdf Code:https://github.com…

Hierarchical Question-Image Co-Attention for Visual Question Answering

Hierarchical Question-Image Co-Attention for Visual Question Answering NIPS 2016 Paper: https://arxiv.org/pdf/1606.00061.pdf Code: https://github.com/jiasenlu/HieCoAttenVQA Related Blog: [AI前沿]机器阅读理解与问答·Dynamic Co-Attention Networks Introduction: 本文提…

Visual Question Answering with Memory-Augmented Networks

Visual Question Answering with Memory-Augmented Networks 2018-05-15 20:15:03 Motivation: 虽然 VQA 已经取得了很大的进步,但是这种方法依然对完全 general,freeform VQA 表现很差,作者认为是因为如下两点: 1. deep models trained with gradient based methods learn to respond to the majority of train…