Scene Parsing with Multiscale Feature Learning Purity Trees and Optimal Covers Clment Farabet CFARABET CS NYU EDU Camille Couprie CCOUPRIE CS NYU EDU Laurent Najman NAJMAN ESIEE FR Yann LeCun YANN CS

Scene Parsing with Multiscale Feature Learning Purity Trees and Optimal Covers Clment Farabet CFARABET CS NYU EDU Camille Couprie CCOUPRIE CS NYU EDU Laurent Najman NAJMAN ESIEE FR Yann LeCun YANN CS Scene Parsing with Multiscale Feature Learning Purity Trees and Optimal Covers Clment Farabet CFARABET CS NYU EDU Camille Couprie CCOUPRIE CS NYU EDU Laurent Najman NAJMAN ESIEE FR Yann LeCun YANN CS  - Start

2014-10-19 109K 109 0 0

Scene Parsing with Multiscale Feature Learning Purity Trees and Optimal Covers Clment Farabet CFARABET CS NYU EDU Camille Couprie CCOUPRIE CS NYU EDU Laurent Najman NAJMAN ESIEE FR Yann LeCun YANN CS - Description

We propose a method that uses a mul tiscale convolutional network trained from raw pixels to extract dense feature vectors that encode regions of multiple sizes centered on each pixel The method alleviates the need for engineered features In paralle ID: 6383 Download Pdf

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Scene Parsing with Multiscale Feature Learning Purity Trees and Optimal Covers Clment Farabet CFARABET CS NYU EDU Camille Couprie CCOUPRIE CS NYU EDU Laurent Najman NAJMAN ESIEE FR Yann LeCun YANN CS




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