Paper Reading - Long-term Recurrent Convolutional Networks for Visual Recognition and Description ( CVPR 2015 )
Link of the Paper: https://arxiv.org/abs/1411.4389
Main Points:
- A novel Recurrent Convolutional Architecture ( CNN + LSTM ): both Spatially and Temporally Deep.
- The recurrent long-term models are directly connected to modern visual convnet models and can be jointly trained to simultaneously learn temporal dynamics and convolutional perceptual representations.
Other Key Points:
- A significant limitation of simple RNN models which strictly integrate state information over time is known as the "vanishing gradient" effect: the ability to backpropogate an error signal through a long-range temporal interval becomes increasingly impossible in practice.
- The authors show LSTM-type models provide for improved recognition on conventional video activity challenges and enable a novel end-to-end optimizable mapping from image pixels to sentence-level natural language descriptions.
Paper Reading - Long-term Recurrent Convolutional Networks for Visual Recognition and Description ( CVPR 2015 )的更多相关文章
- 目标检测--Spatial pyramid pooling in deep convolutional networks for visual recognition(PAMI, 2015)
Spatial pyramid pooling in deep convolutional networks for visual recognition 作者: Kaiming He, Xiangy ...
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He, Xiangyu Zh ...
- SPPNet论文翻译-空间金字塔池化Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
http://www.dengfanxin.cn/?p=403 原文地址 我对物体检测的一篇重要著作SPPNet的论文的主要部分进行了翻译工作.SPPNet的初衷非常明晰,就是希望网络对输入的尺寸更加 ...
- 深度学习论文翻译解析(九):Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
论文标题:Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition 标题翻译:用于视觉识别的深度卷积神 ...
- 论文阅读笔记二十五:Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition(SPPNet CVPR2014)
论文源址:https://arxiv.org/abs/1406.4729 tensorflow相关代码:https://github.com/peace195/sppnet 摘要 深度卷积网络需要输入 ...
- SPP Net(Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition)论文理解
论文地址:https://arxiv.org/pdf/1406.4729.pdf 论文翻译请移步:http://www.dengfanxin.cn/?p=403 一.背景: 传统的CNN要求输入图像尺 ...
- 论文解读2——Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
背景 用ConvNet方法解决图像分类.检测问题成为热潮,但这些方法都需要先把图片resize到固定的w*h,再丢进网络里,图片经过resize可能会丢失一些信息.论文作者发明了SPP pooling ...
- SPP NET (Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition)
1. https://www.cnblogs.com/gongxijun/p/7172134.html (SPP 原理) 2.https://www.cnblogs.com/chaofn/p/9305 ...
- 【ML】Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos & Towards Good Practices for ...
随机推荐
- zookeeper学习记录第二篇-----安装、配置、启动
搭建zk集群,起码保证3台虚拟机的配置,本人使用的虚拟机环境为wm14+centos7+jdk1.8 下载地址 zk的tar包下载地址:http://mirror.bit.edu.cn/apache/ ...
- 关于Oracle的认识
一.Oracle认识: 1.安装时的全局数据库Orcl可以使用吗?可以的 2.Oracle相关服务: 3.数据库与用户,表空间的关系“ 4.切换数据库 5.关于命令:sqlplus 6\
- Java单例模式几种实现方式
在平时的工作.学员的学习以及面试过程中,单例模式作为一种常用的设计模式,会经常被面试官问到,甚至笔试会要求学员现场默写,下面将会就单例模式的实现思路和几种常见的实现方式进行简单的分享. 单例模式,是一 ...
- C++练习 | 运算符重载练习(字符串相关)
#include <iostream> #include <cmath> #include <cstring> #include <string> #i ...
- linux重要目录
1.网卡配置文件 /etc/sysconfig/network-scripts/ifcfg-eth* 2.客户端dns配置文件 /etc/resolv.conf 网卡配置文件中的dns配置优先于此文件 ...
- HTML5--Table
1.先给大加看下效果图,有点干劲 2.编写的代码 <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" ...
- PHP 好用第三方库
PHP 好用第三方库 whoops 更好的php错误报告库 [github]:https://github.com/filp/whoops Whoops是一个易于处理和调试错误的PHP库 .它提供基于 ...
- Delphi XE7的Splash 功能
Delphi XE5,XE6,XE7编译的程序在Android下启动会有一段时间黑屏,以前需要用Java扩展Activity增加Splash显示, 现在Delphi XE7增加了Splash Imag ...
- 动态链接库 —— Dll 基础
1. DLL 的初识 在 windows 中,动态链接库是不可缺少的一部分,windows 应用程序程序接口提供的所有函数都包含在 DLL 中,其中有三个非常重要的系统 DLL 文件,分别为 Kern ...
- vue项目持久化存储数据的实现代码
方式一.使用localStorage在数据存储 1.要在浏览器刷新的时候重新存储起来 if (window.localStorage.getItem(authToken)) { store.commi ...