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Acknowledgment to the Reviewers of Architecture in 2022

open access: yesArchitecture, 2023
High-quality academic publishing is built on rigorous peer review [...]
Architecture Editorial Office
doaj   +1 more source

A Style-Based Generator Architecture for Generative Adversarial Networks [PDF]

open access: yesComputer 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
semanticscholar   +1 more source

UNet++: A Nested U-Net Architecture for Medical Image Segmentation [PDF]

open access: yesDLMIA/ML-CDS@MICCAI, 2018
In this paper, we present UNet++, a new, more powerful architecture for medical image segmentation. Our architecture is essentially a deeply-supervised encoder-decoder network where the encoder and decoder sub-networks are connected through a series of ...
Zongwei Zhou   +3 more
semanticscholar   +1 more source

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation [PDF]

open access: yesIEEE 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
semanticscholar   +1 more source

Rethinking the Inception Architecture for Computer Vision [PDF]

open access: yesComputer 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
semanticscholar   +1 more source

MnasNet: Platform-Aware Neural Architecture Search for Mobile [PDF]

open access: yesComputer 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
semanticscholar   +1 more source

Regularized Evolution for Image Classifier Architecture Search [PDF]

open access: yesAAAI 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
semanticscholar   +1 more source

Res2Net: A New Multi-Scale Backbone Architecture [PDF]

open access: yesIEEE 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
semanticscholar   +1 more source

Body As Architecture: Designing the Stout Body in the Age of Standardization

open access: yesFashion 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
doaj   +1 more source

Drawing texture with the toy piano

open access: yesRevista Vortex, 2020
This paper discusses the influence of hand drawing techniques in my work for toy piano. It is known that composers often respond expressively to ideas and draw compositional strategies from other domains of life, for example, the mathematical proportions
Diana Blom
doaj   +1 more source

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