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Found 2 essays matching the above criteria.

1. 1. Improving deep monocular depth predictions using dense narrow field of view depth images

   University essay from KTH/Robotik, perception och lärande, RPL

   Author : Christoffer Möckelind; [2018]
   Keywords : Deep learning; Monocular; Depth estimation; Narrow field of view; RGB; RGBD; Noicy depth; Dense depth; Narrow depth; Sparse depth;

   Abstract : In this work we study a depth prediction problem where we provide a narrow field of view depth image and a wide field of view RGB image to a deep network tasked with predicting the depth for the entire RGB image. We show that by providing a narrow field of view depth image, we improve results for the area outside the provided depth compared to an earlier approach only utilizing a single RGB image for depth prediction. READ MORE

3. 2. The effects of Deep Belief Network pre-training of a Multilayered perceptron under varied labeled data conditions

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Marcus Larsson; Christoffer Möckelind; [2016]
   Keywords : ;

   Abstract : Sometimes finding labeled data for machine learning tasks is difficult. This is a problem for purely supervised models like the Multilayered perceptron(MLP). A Discriminative Deep Belief Network(DDBN) is a semi-supervised model that is able to use both labeled and unlabeled data. READ MORE