scale up image

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An analysis of the scale invariance in Object Detection–snip paper interpretation

ObjectiveOriginally wanted to follow the convention to a overview, the result saw a very good and detailed introduction, so copy over, their own in front of the general summary of the paper, the details do not repeat, citing the article is very

Image retrieval: content-based Image Retrieval Technology _ Image Retrieval

Background and significance In the Web2.0 era, especially with the popularity of social networking sites like Flickr and Facebook, images, videos, audio, text and other heterogeneous data are growing at an alarming rate every day. For example,

SIFT (scale-invariant feature transform, scale invariant feature conversion) feature _sift

The full name of the SIFT algorithm is scale-invariant feature transform, scale invariant feature conversion, is a feature that does not change with the rotation of the image scale, so the SIFT feature does not change with the enlargement or

[Turn] The difference between scale-up and scale-out

Http://www.cnblogs.com/spork/archive/2009/12/29/1634766.htmlFrom the original station, once confused things, on the table, hoping to be confused or will be confused people to help.When it comes to the scalability ofthe system, scale-up (vertical

Scale-up and scale-out

From the original station, what you have been confused about, and tables, you want to help people who are confused or about to be confused. Speaking of system scalability,Scale-Up(Vertical scaling) andScale-Out(Horizontal scaling) is two common

Multi-scale geometric analysis (Ridgelet, Curvelet, Contourlet, Bandelet, Wedgelet, Beamlet)

The discussion of sparse radicals has been going on for nearly one months, this time to discuss multiscale geometric analysis. However, as the following discussion of these transformations are mainly oriented to the image, and I am now mainly

Very Deep convolutional Networks for large-scale Image recognition

Very Deep convolutional Networks for large-scale Image recognition Reprint Please specify:http://blog.csdn.net/stdcoutzyx/article/details/39736509 This paper is in September this year's paper [1], relatively new, in which the views of

Deep learning Notes (ii) Very Deepin convolutional Networks for large-scale Image recognition

Very Deep convolutional Networks for large-scale Image recognition1. Major contributions This paper explores the change of the effect of CNN as the number of layers increases as the number of parameters is basically unchanged. (thorough

Scale-up and scale-out

Speaking of system scalability, scale-up and scale-out are two common terms. For Beginners, it is easy to confuse these two concepts, here we summarize some clear explanations of concepts. First, let's talk about Wikipedia. Scale vertically (scale

Php uses the imagick module to scale, crop, and compress images.

This article describes how to use the imagick module in php to scale, crop, and compress images. For more information about how to use the Imagick module in PHP to scale, crop, and compress images, including GIF images Scale and crop The code is

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