deep_learning 第2页

超强合集：OCR 文本检测干货汇总（含论文、源码、demo 等资源）

作者：handong1587来源：GitHub链接：https://github.com/handong1587/handong1587.github.io/blob/master/_posts/deep_learning

extremevision·2019-01-12 15:34

目标识别与目标跟踪

，更新目标检测的论文代码其他一些总结库https://github.com/amusi/awesome-object-detection还有https://handong1587.github.io/deep_learning

知识在于分享·2018-12-29 13:47

Object Detection(目标检测论文、代码整合)

转发自：https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html，如有侵权联系删除。

今天依旧要努力·2018-12-19 17:41

2018目标检测最新算法+经典目标检测算法

https://blog.csdn.net/wfei101/article/details/80861681目标检测算法集合（论文+开源代码）https://handong1587.github.io/deep_learning

LLyj_·2018-10-31 10:30

图像语义分割常用链接

cls=mean&challengeid=11&compid=6二、论文+开源整理https://handong1587.github.io/deep_learning/2015/

YanZhiyuan0918·2018-10-16 13:03

Object Detection(目标检测神文)

转发自：https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html，如有侵权联系删除。

Mars_WH·2018-08-21 14:28

基于Tensorflow实现多层感知机网络MLPs

github：https://github.com/sladesha/deep_learning之前在基于Tensorflow的神经网络解决用户流失概率问题写了一个MLPs的网络，很多人在问，其实这个网络看起来很清晰

LeadAI学院·2018-08-09 18:00

目标检测（Object Detection）总览

ObjectDetectionhttps://handong1587.github.io/deep_learning/2015/10/09/object-detection.html#visual-relationship-detectionObjectDetection

rrr2·2018-08-08 15:20

图像处理入门：目标检测和图像检索综述

相比于传统目标检测，深度学习目标检测算法越来越成熟https://www.cnblogs.com/houjun/p/8424893.htmlhttps://handong1587.github.io/deep_learning

M_Z_G_Y·2018-07-17 17:47

object-detection

awesome-object-detectionAwesomeObjectDetectionbasedonhandong1587github（https://handong1587.github.io/deep_learning

Elag·2018-05-14 11:19

基于Tensorflow学习神经网络-目标检测

8.ObjectDetection（RCNN-RPN-YOLO-）https://handong1587.github.io/deep_learning/2015/10/09/object-detection.htmlhttp

东西北·2018-01-22 10:37

write into and read from a TFRecords file in TensorFlow

wang_peng1·2017-11-19 20:00

【转】Object Detection博客(上)

本文转载自：https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html#数据总览DetectionResults

Kwan_SS·2017-07-09 20:58

【转】Object Detection博客(下)

本文转载自：https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html#(接ObjectDetection博客

Kwan_SS·2017-07-09 20:18

目标检测与跟踪

group_id=840232915295170560重要网站链接https://handong1587.github.io/deep_learning/2015/10/09/object-detection

女王の专属领地·2017-06-12 22:52

基于深度学习的目标检测方法:R-CNN

R-CNN目标检测方面比较全面的资料：https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html论文：Richfeaturehierarchiesforaccurateobjectdetectionandsemanticsegmentation

迷上微笑·2017-05-18 18:04

目标检测-深度学习

1.Objectdetection资源：https://handong1587.github.io/deep_learning/2015/10/09/object-detection.htmlhttp:

SingDancer·2017-05-16 11:30

[深度学习]资源汇总

转自：https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html#t-cnnMethodVOC2007VOC2010VOC2012ILSVRC2013MSCOCO2015SpeedOverFeat24.3%

小新识图·2017-05-08 13:47

object detection资料汇总

转自：https://handong1587.github.io/deep_learning/2015/10/09/object-detection.htmlJumpto...LeaderboardPapersR-CNNMultiBoxSPP-NetDeepID-NetNoCFastR-CNNDeepBoxMR-CNNFasterR-CNNYOLOAttentionNetDenseBoxSSDIn

小村长·2017-04-18 20:22

自动驾驶大量资料

https://handong1587.github.io/deep_learning/2015/10/09/dl-and-autonomous-driving.htmlDeepLearningandAutonomousDriving

算法学习者·2017-03-22 00:31

YiLiang_·2017-03-07 09:08

目标检测（Object Detection）资料汇总

ObjectDetection-handong1587（非常全，而且实时更新）https://handong1587.github.io/deep_learning/2015/10/09/object-detection.htmlGitHub-caocuong0306

beihangzxm123·2017-03-02 11:01

win7下caffe的编译（包括caffe_python接口配置）以及python27下numpy、matplotlib、scipy等的安装

最后将caffe编译好后，需要将caffe目录路径E:\deep_learning\

Michael_liangliang·2017-01-04 14:56

各种对象检测论文总结(Object Detection )

Originalurl:http://blog.csdn.net/u010167269/article/details/52563573https://handong1587.github.io/deep_learning

junmuzi·2016-12-01 10:57

cv方面的博文收藏 -- 持续更新

（持续更新）=====论文的整理：ImageGeneration:https://handong1587.github.io/deep_learning/2015/10/09/image-generation.htmlImageRetrieval

_menglan_Zi·2016-11-15 15:14

Deep learning 资源

==============RNNandLSTMhttp://handong1587.github.io/deep_learning/2015/10/09/rnn-and-lstm.html======

nilbooy·2016-04-15 13:00

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