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Materias / palabras clave: architecture, contemporaneity, cityscapes, urban buildings, architectural design; Fine Arts: Architecture

Visual understanding of complex urban street scenes is an enabling factor for a wide range of applications. Object detection has benefited enormously from large-scale datasets, especially in the context of deep learning....

Abstract Deep learning-based image semantic segmentation techniques have made great strides in recent years. However, they still need large amounts of finely annotated image data, and generalizing the model from known cl...

A fotografia crescentemente vem sendo investigada pelos historiadores brasileiros, fazendo surgir diferentes abordagens metodológicas para análise dessas imagens visuais. Neste artigo proponho discutir uma das possibil...

In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical merit. First, we highlight convolution with...

Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by different-region-based context aggregation through our pyramid p...