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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Deep learning has had mind-blowing success in computer vision and image processing over the past few years. For many tasks, deep-learning methods have outperformed their handcrafted competitors in delivering similar or even better results than human experts. For example, GoogleNet’s performance on the ImageNet benchmark exceeds human performance (Dodge and Karam 2017). In this post, we compare professional artists and computer algorithms (including recent approaches based on deep neural networks, or DNNs) to determine which can produce better image-inpainting results.