cvpaper.challenge@CVPR2015(Deep Neural Networks)
cvpaper.challengeにてサーベイしたCVPR2015論文のまとめ(Deep Neural Networks(DNN))です． Convolutional Neural Networks(CNN)やRecurrent Neural Netoworks (RNN)や，その応用に関してまとめております． 産総研片岡裕雄(@HirokatuKataoka)と電機大中村研(http://www.is.fr.dendai.ac.jp/ )による合同プロジェクト「cvpaper.challenge」です． Twitterで論文情報を随時アップしてます． Twitter： https://twitter.com/CVpaperChalleng 質問コメント等がありましたらメールまで． Mail ： cvpaper.challenge[at]gmail[dot]com Read less
Detecting diabetic retinopathy in eye images · Jeffrey De Fauw
Pairs of fundus images of the eye after the first layer in the convolutional neural network. The past almost four months I have been competing in a Kaggle competition about diabetic retinopathy grading based on high-resolution eye images. In this post I try to reconstruct my progression through the competition; the challenges I had, the things I tried, what worked and what didn’t. This is not mean
My solution for the Galaxy Zoo challenge
The Galaxy Zoo challenge on Kaggle has just finished. The goal of the competition was to predict how Galaxy Zoo users (zooites) would classify images of galaxies from the Sloan Digital Sky Survey. I finished in 1st place and in this post I’m going to explain how my solution works. Introduction The problem Galaxy Zoo is a crowdsourcing project, where users are asked to describe the morphology of ga
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https://ttic.uchicago.edu/~rurtasun/courses/VisualRecognition/hog-ps-dpm.pdf
OpenCV Latent SVM Discriminatively Trained Part Based Models for Object Detection_opencv latentsvm-CSDN博客