RGB-D Object Recognition and Pose Estimation Based on Pre-Trained Convolutional Neural Network Features

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Date: 2015-03-03 05:00:04 Computer vision Artificial intelligence Computational neuroscience Vision Statistics Artificial neural networks Convolutional neural network Robot control Outline of object recognition Pose Image segmentation Support vector machine		RGB-D Object Recognition and Pose Estimation Based on Pre-Trained Convolutional Neural Network Features Add to Reading List Source URL: www.ais.uni-bonn.de Download Document from Source Website File Size: 2,60 MB Share Document on Facebook

	Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition Di Lin† † Xiaoyong Shen† DocID: 1rtGY - View Document
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	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool DocID: 1roMm - View Document
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