svms net

1. R-cnn:rich feature hierarchies for accurate object detection and semantic segmentationTechnical route: Selective search + CNN + SVMsSTEP1: Candidate Box extraction (selective search)Training: Given a picture, use the Seletive search method to

Original: http://qxde01.blog.163.com/blog/static/67335744201368101922991/In the field of scientific computing, Python has two important extension modules: NumPy and scipy. Where NumPy is a scientific computing package implemented in Python.

More than two weeks of efforts to finally write out the code of RCNN, this code is very interesting, and incidentally reviewed a few tensorflow application of knowledge points, so summarize, take everyone to share the experience. Theoretically,

reference:http://qxde01.blog.163.com/blog/static/67335744201368101922991/Python in the field of scientific computing, there are two important extension modules: NumPy and scipy. Where NumPy is a scientific computing package implemented in Python.

Deep Learning thesis notes (8) Latest deep learning Overview Zouxy09@qq.com Http://blog.csdn.net/zouxy09   I have read some papers at ordinary times, but I always feel that I will slowly forget it after reading it. I did not seem to have read it

Statement: This article is not original, original Reprinted from: http://www.yuanyong.org/blog/cv/cv-code   I. Feature ExtractionFeature Extraction: Sift [1] [demo program] [sift library] [vlfeat] PCA-SIFT [2] [project] Affine-sift [3] [project]