Learning from scratch
نویسندگان
چکیده
منابع مشابه
Learning Face Representation from Scratch
Pushing by big data and deep convolutional neural network (CNN), the performance of face recognition is becoming comparable to human. Using private large scale training datasets, several groups achieve very high performance on LFW, i.e., 97% to 99%. While there are many open source implementations of CNN, none of large scale face dataset is publicly available. The current situation in the field...
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Unsupervised joint alignment of images has been demonstrated to improve performance on recognition tasks such as face verification. Such alignment reduces undesired variability due to factors such as pose, while only requiring weak supervision in the form of poorly aligned examples. However, prior work on unsupervised alignment of complex, real-world images has required the careful selection of...
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Conventional wisdom holds that model-based planning is a powerful approach to sequential decision-making. It is often very challenging in practice, however, because while a model can be used to evaluate a plan, it does not prescribe how to construct a plan. Here we introduce the “Imagination-based Planner”, the first model-based, sequential decision-making agent that can learn to construct, eva...
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We introduce a new large-scale music dataset, MusicNet, to serve as a source of supervision and evaluation of machine learning methods for music research. MusicNet consists of hundreds of freely-licensed classical music recordings by 10 composers, written for 11 instruments, together with instrument/note annotations resulting in over 1 million temporal labels on 34 hours of chamber music perfor...
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In this paper, we propose a novel approach, referred to as Confidence Convolutional Neural Network (CCNN)1, to predict the correctness of stereo matching by deploying a Convolutional Neural Network (CNN). In literature this is usually carried out by means of confidence measures [1] which encode the degree of reliability of the disparity assigned to each pixel by considering different cues: cost...
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ژورنال
عنوان ژورنال: Nature Materials
سال: 2018
ISSN: 1476-1122,1476-4660
DOI: 10.1038/s41563-018-0142-1