原文出处: https://explorable.com/top-down-vs-bottom-up-processing Generally speaking, there are two approaches to understanding the process ...
Bottom Up and Top Down Attention for Image Captioning and Visual Question Answering 阅读总结 笔记不能简单的抄写文中的内容,得有自己的思考和理解。 一 基本信息 .标题:Bottom Up and Top Down Attention for Image Captioning and Visual Question ...
2020-04-02 21:43 0 1149 推荐指数:
原文出处: https://explorable.com/top-down-vs-bottom-up-processing Generally speaking, there are two approaches to understanding the process ...
Learning Visual Question Answering by Bootstrapping Hard Attention Google DeepMind ECCV-2018 Updated on 2020-03-11 14:58:12 Paper:https ...
Hierarchical Question-Image Co-Attention for Visual Question Answering NIPS 2016 Paper: https://arxiv.org/pdf/1606.00061.pdf Code: https ...
初次接触Captioning的问题,第一印象就是Andrej Karpathy好聪明。主要从他的两篇文章开始入门,《Deep Fragment Embeddings for Bidirectional Image Sentence Mapping》和《Deep Visual ...
相关链接 论文地址:https://arxiv.org/abs/1901.08043 论文代码:https://github.com/xingyizhou/ExtremeNet 概述 ExtremeNet是今年(2019)1月23号挂在arxiv上的目标检测论文,是至今为止检测效果 ...
标题:基于知识的视觉问答的多模态知识提取与积累 来源:CVPR 2022https://arxiv.org/abs/2203.09138 代码:https://github.com/Ander ...
Introduction 本文有如下3个贡献: ① 提出了一个自下而上(bottom-up)的聚类框架(BUC)来解决无监督的ReID问题; ② 采用repelled损失来优化模型,repelled损失直接优化了样本、聚类之间的余弦距离,可以挖掘聚类之间的相似性以及最大化不同身份之间的差异性 ...
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention-阅读总结 笔记不能简单的抄写文中的内容,得有自己的思考和理解。 一、基本信息 \1.标题:Show, Attend and Tell ...