arXiv is an e-print service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance and statistics. There'll be lots of papers in advance. Here's some recent papers which is important or interesting.

1. Object Detection

even faster than fast rcnn, more end to end for detection, more accurate

You Only Look Once: Unified, Real-Time Object Detection

Faster R-CNN: Towards Real-Time Object Detection with RegionProposal Network

watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvc3VuYmFpZ3Vp/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/Center" alt="">

2. cnn itself

more faster over cnn

Fast ConvNets Using Group-wise Brain Damage

more fine-grained visual recognition

Bilinear CNN Models for Fine-grained Visual Recognition

watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvc3VuYmFpZ3Vp/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/Center" alt="">

new post process for classify

Classify Images with Conceptor Network

SVM and ELM: Who Wins? Object Recognitionwith Deep Convolutional Features from ImageNet

watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvc3VuYmFpZ3Vp/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/Center" alt="">

how to combine multiple cnn?

Learning to Select Pre-Trained Deep Representations withBayesian Evidence Framework

3. image captioning

attributes/word layer

Image Captioning with an Intermediate Attributes Layer

4. OCR

Boosting Optical Character Recognition: ASuper-Resolution Approach

5. interesting work

Visual Learning of Arithmetic Operations

EventNet: A Large Scale Structured ConceptLibrary forComplex Event Detection in Video

[3 Jun 2015 ~ 9 Jun 2015] Deep Learning in arxiv的更多相关文章

  1. [Fri 26 Jun 2015 ~ Thu 2 Jul 2015] Deep Learning in arxiv

    Natural Neural Networks Google DeepMind又一神作 Projected Natural Gradient Descent algorithm (PRONG) bet ...

  2. [Tue, 11 Aug 2015 ~ Mon, 17 Aug 2015] Deep Learning in arxiv

    Image Representations and New Domains inNeural Image Captioning we find that a state-of-theart neura ...

  3. [Thu, 9 Jul 2015 ~ Tue, 14 Jul 2015] Deep Learning in arxiv

    这一期的神作论文有蛮多的,都很有意思. Feature Representation In ConvolutionalNeural Networks 该论文中论述了在某种CNN结构下,是否有准确率较高 ...

  4. [Fri, 3 Jul 2015 ~ Tue, 7 Jul 2015] Deep Learning in arxiv

    Convolutional Color Constancy can this be used for training cnn to narrow the gap between different ...

  5. 【深度学习Deep Learning】资料大全

    最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron C ...

  6. (转) Awesome Deep Learning

    Awesome Deep Learning  Table of Contents Free Online Books Courses Videos and Lectures Papers Tutori ...

  7. What are some good books/papers for learning deep learning?

    What's the most effective way to get started with deep learning?       29 Answers     Yoshua Bengio, ...

  8. (zhuan) Where can I start with Deep Learning?

    Where can I start with Deep Learning? By Rotek Song, Deep Reinforcement Learning/Robotics/Computer V ...

  9. 0.读书笔记之The major advancements in Deep Learning in 2016

    The major advancements in Deep Learning in 2016 地址:https://tryolabs.com/blog/2016/12/06/major-advanc ...

随机推荐

  1. Django--------问题：在terminal命令行创建超级用户时入到password时输入为什么没有反应？

    首先如果遇到这样的问题不用担心,一般一会儿就可以解决: 其实,输入的时候并不是没有反应,只是你输入的时候命令行没有将你的输入显示出来,关键是输入行对Password:********也不是采用这种方式 ...

  2. html 标签附加文本属性

    <!DOCTYPE html> <html> <head> <script> function showDetails(animal) { var an ...

  3. Map容器——HashMap及常用API，及put,get方法解析，哈希码的产生和使用

    Map接口 ①   映射(map)是一个存储键/值对的对象.给定一个键,可以查询到它的值,键和值都是对象; ②   键必须是唯一的,值可以重复; ③   有些映射可以接收null键和null值,而有的 ...

  4. 数组快速生成range的方法

    //生成[item1-item9]数组 Array(9).join(0).split('').map((item,index) => 'item' + (index+1)) //生成20个对象的 ...

  5. NOIP2017赛前模拟(4):总结

    题目: 1.打牌 给定n个整数(n<=1000000),按照扑克牌对子(x,x)或者顺子(x,x+1,x+2)打出牌···问最多可以打出多少次对子或者顺子?牌的大小<=1000000 2. ...

  6. Coloring Torus（Atcoder Grand Contest 030 C）

    怎么外国都喜欢考脑筋急转弯…… 题意 输入 $k$,要求构造一个 $n\times n$ 的矩阵($n$ 自选),使得恰好用 $k$ 中颜色把每个点都染色,并且同一种颜色的格子周围 相邻的每种颜色数量 ...

  7. 【spring aop切面】基础使用教程

    package tpf.aspect; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFact ...

  8. PXC部署，配置，操作原理

    参考:https://www.cnblogs.com/kevingrace/p/5685371.html?utm_source=itdadao&utm_medium=referra       ...

  9. FNV与FNV-1a Hash算法说明【转】

    转自:http://blog.csdn.net/jiayanhui2877/article/details/12090575 The core of the FNV hash The core of ...

  10. 四、 java循环结构

    for循环结构: 格式:①初始化条件;②循环条件;③迭代条件;④循环体 for(①;②;③){ //④ } 执行过程:①-②-④-③-②-④-③-...-④-③-②,直至循环条件不满足,退出当前的循环 ...