JavaShuo
欄目
標籤
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
時間 2020-12-30
原文
原文鏈接
來源: CVPR2017 關鍵詞:imaging captioning; attention mechanism 原文 Motivation visual attention已經在image/video captioning 和 visual question answering 任務中取得了成功. 其合理之處在於人總是根據需要有選擇性的觀察圖像的一部分. 文中將attention-based m
>>阅读原文<<
相關文章
1.
DenseCap:Fully Convolutional Localization Networks for Dense Captioning
2.
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
3.
論文筆記:Areas of Attention for Image Captioning
4.
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
5.
Paper Reading -- 《Spectral-Spatial Attention Networks for Hyperspectral Image Classification》
6.
(Paper Reading)Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
7.
CVPR 2018 Oral:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
8.
《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering》
9.
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
10.
Image Captioning with Semantic Attention
更多相關文章...
•
Swift for-in 循環
-
Swift 教程
•
Lua for 循環
-
Lua 教程
•
RxJava操作符(七)Conditional and Boolean
•
Kotlin學習(二)基本類型
相關標籤/搜索
for...in
for..in
for.....in
networks
spatial
captioning
convolutional
image
attention
c#image
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.
Appium入門
2.
Spring WebFlux 源碼分析(2)-Netty 服務器啓動服務流程 --TBD
3.
wxpython入門第六步(高級組件)
4.
CentOS7.5安裝SVN和可視化管理工具iF.SVNAdmin
5.
jedis 3.0.1中JedisPoolConfig對象缺少setMaxIdle、setMaxWaitMillis等方法,問題記錄
6.
一步一圖一代碼,一定要讓你真正徹底明白紅黑樹
7.
2018-04-12—(重點)源碼角度分析Handler運行原理
8.
Spring AOP源碼詳細解析
9.
Spring Cloud(1)
10.
python簡單爬去油價信息發送到公衆號
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
DenseCap:Fully Convolutional Localization Networks for Dense Captioning
2.
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
3.
論文筆記:Areas of Attention for Image Captioning
4.
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
5.
Paper Reading -- 《Spectral-Spatial Attention Networks for Hyperspectral Image Classification》
6.
(Paper Reading)Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
7.
CVPR 2018 Oral:Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
8.
《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering》
9.
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
10.
Image Captioning with Semantic Attention
>>更多相關文章<<