JavaShuo
栏目
标签
《Context and Attribute Grounded Dense Captioning》笔记
时间 2021-01-02
原文
原文链接
CVPR 2019 《Context and Attribute Grounded Dense Captioning》这篇文章设计了一个端到端基于文本和属性的描述架构,由上下文视觉挖掘模块和基于多层属性的描述生成模块两部分组成,同时还结合了来自分层语言的辅助监督,以增强学习的描述的独特性。具体架构如下图所示: 第一部分,上下文特征提取器(CFE)。先用Faster RCNN学习输入图像的视觉特征,
>>阅读原文<<
相关文章
1.
Dense-Captioning Events in Videos
2.
DenseCap:Fully Convolutional Localization Networks for Dense Captioning
3.
论文笔记:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
4.
论文笔记:Skeleton Key_Image Captioning by Skeleton-attribute Decomposition
5.
论文笔记:Image Captioning with Semantic Attention
6.
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
7.
论文笔记:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answer
8.
论文笔记:Show and Tell Lessons learned from the 2015 MSCOCO Image Captioning Challenge
9.
论文笔记:Areas of Attention for Image Captioning
10.
行人属性“Attribute Recognition by Joint Recurrent Learning of Context and Correlation”
更多相关文章...
•
C# 特性(Attribute)
-
C#教程
•
ASP.NET Razor - 标记
-
ASP.NET 教程
•
Tomcat学习笔记(史上最全tomcat学习笔记)
•
RxJava操作符(七)Conditional and Boolean
相关标签/搜索
grounded
attribute
captioning
dense
context
笔记
action.....and
between...and
react+and
读书笔记
MyBatis教程
Redis教程
MySQL教程
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
外部其他进程嵌入到qt FindWindow获得窗口句柄 报错无法链接的外部符号 [email protected] 无法被([email protected]@[email protected]@@引用
2.
UVa 11524 - InCircle
3.
The Monocycle(bfs)
4.
VEC-C滑窗
5.
堆排序的应用-TOPK问题
6.
实例演示ElasticSearch索引查询term,match,match_phase,query_string之间的区别
7.
数学基础知识 集合
8.
amazeUI 复择框问题解决
9.
背包问题理解
10.
算数平均-几何平均不等式的证明,从麦克劳林到柯西
本站公众号
欢迎关注本站公众号,获取更多信息
相关文章
1.
Dense-Captioning Events in Videos
2.
DenseCap:Fully Convolutional Localization Networks for Dense Captioning
3.
论文笔记:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
4.
论文笔记:Skeleton Key_Image Captioning by Skeleton-attribute Decomposition
5.
论文笔记:Image Captioning with Semantic Attention
6.
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
7.
论文笔记:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answer
8.
论文笔记:Show and Tell Lessons learned from the 2015 MSCOCO Image Captioning Challenge
9.
论文笔记:Areas of Attention for Image Captioning
10.
行人属性“Attribute Recognition by Joint Recurrent Learning of Context and Correlation”
>>更多相关文章<<