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Deep Learning Methods for Vision

Deep

Learning,

Computer

Vision

5星 · 超过95%的资源需积分: 11 11 下载量 27 浏览量 2013-07-05 15:29:14 上传评论收藏 4.19MB PDF 举报

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102页

美国密歇根大学安娜堡分校的Honglak Lee在CVPR2012上的Tutorial，很好的CV类DL学习资源

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CVPR 2012 Tutorial

Deep Learning Methods for Vision

(draft)

Honglak Lee

Computer Science and Engineering Division

University of Michigan, Ann Arbor

Input

Input space

Motorbikes

“Non”-Motorbikes

Learning

algorithm

pixel 1

pixel 2

pixel 1

pixel 2

Feature representations

Input

Input space

Feature space

Motorbikes

“Non”-Motorbikes

Feature

representation

Learning

algorithm

pixel 1

pixel 2

“wheel”

“handle”

handle

wheel

Feature representations

Image

Low-level

vision features

(SIFT, HOG, etc.)

Object detection

/ classification

Image

Grasp point

Low-level

features

Object

detection

Audio

classification

Audio

Low-level

audio features

(spectrogram, MFCC, etc.)

Speaker

identification

Input data

Learning

algorithm

Feature

representation

State-of-the-art:

“hand-crafting”

How is computer perception done?

SIFT Spin image

HoG

RIFT

Textons

GLOH

Computer vision features

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评论星级较低，若资源使用遇到问题可联系上传者，3个工作日内问题未解决可申请退款~

yyjsunny

2014-12-24

资料非常好，有助于对deep learning的理解
奋进中的蜗牛

2016-04-20

资料非常好，有助于对deep learning的理解

Qinrui_Yan

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