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METHODS FOR GENERATING A DEEP NEURAL NET AND FOR LOCALISING AN OBJECT IN AN INPUT IMAGE, DEEP NEURAL NET, COMPUTER PROGRAM PRODUCT, AND COMPUTER-READABLE STORAGE MEDIUM
METHODS FOR GENERATING A DEEP NEURAL NET AND FOR LOCALISING AN OBJECT IN AN INPUT IMAGE, DEEP NEURAL NET, COMPUTER PROGRAM PRODUCT, AND COMPUTER-READABLE STORAGE MEDIUM
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机译：生成深层神经网络和定位输入图像中对象的方法，深层神经网络，计算机程序产品和计算机可读存储介质
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摘要
The invention relates to methods (1) for generating a deep neural net (10) and for localising an object (30) in an input image (2), the deep neural net (10), a corresponding computer program product, and a corresponding computer-readable storage medium. The invention proposes to train a discriminative counting model to classify images (2) according to a number of objects (30) of a predetermined type depicted in each of the images (2), and to train a segmentation model to segment images (2) by classifying each pixel according to what image part (30, 31, 35-38, 42, 60) the pixel belongs to. Parts (11) and/or features of both models are combined to form the deep neural net (10), wherein the deep neural net (10) is adapted to generate in a single forward pass a map (14, 16, 52, 58, 63) indicating locations of any objects (30) for each input image (2).
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