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Acknowledgment to the Reviewers of Architecture in 2022
Architecture, 2023 High-quality academic publishing is built on rigorous peer review [...]
Architecture Editorial Office
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Apperception: Understanding and anticipating the user in space based on neural and behavioural responses [PDF]
Architecture Papers of the Faculty of Architecture and Design STU, 2021 The main task of architecture has been and will be to create spaces for the user. Our experiment is based on an interdisciplinary study, combining knowledge from architec-ture, neuroscience, psychology and artificial intelligence.
prof. Ing. arch. Vladimír Šimkovič, PhD. +1 more
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A Style-Based Generator Architecture for Generative Adversarial Networks [PDF]
Computer Vision and Pattern Recognition, 2018 We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. The new architecture leads to an automatically learned, unsupervised separation of high-level attributes (e.g., pose and ...
Tero Karras, S. Laine, Timo Aila
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an encoder network, a corresponding decoder network followed by ...
Vijay Badrinarayanan +2 more
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Rethinking the Inception Architecture for Computer Vision [PDF]
Computer Vision and Pattern Recognition, 2015 Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmarks.
Christian Szegedy +4 more
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Архитектон, 2021 The quality of the urban environment has a direct impact on humans. The criteria for assessing the qualities of the urban environment are extensive and not always measurable.
Gorban’ Natalia V., Belova Darya A.
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MnasNet: Platform-Aware Neural Architecture Search for Mobile [PDF]
Computer Vision and Pattern Recognition, 2018 Designing convolutional neural networks (CNN) for mobile devices is challenging because mobile models need to be small and fast, yet still accurate. Although significant efforts have been dedicated to design and improve mobile CNNs on all dimensions, it ...
Mingxing Tan +4 more
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Regularized Evolution for Image Classifier Architecture Search [PDF]
AAAI Conference on Artificial Intelligence, 2018 The effort devoted to hand-crafting neural network image classifiers has motivated the use of architecture search to discover them automatically. Although evolutionary algorithms have been repeatedly applied to neural network topologies, the image ...
Esteban Real +3 more
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Body As Architecture: Designing the Stout Body in the Age of Standardization
Fashion Studies, 2020 This article explores the curious intersections of stoutwear design, Gestalt Psychology, and architectural discourse in early twentieth-century American fashion media.
Lauren Downing Peters
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Res2Net: A New Multi-Scale Backbone Architecture [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger multi-scale representation ability, leading to consistent ...
Shanghua Gao +5 more
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