Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network [PDF]
Computer Vision and Pattern Recognition, 2016 Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution. In these methods, the low resolution (LR) input image is upscaled
Wenzhe Shi +7 more
semanticscholar +1 more source
Selección de Píxel Semilla mediante Wavelets para Crecimiento por Regiones Difuso (Selection of Seed Pixel Through Wavelets for Fuzzy Region Growing) [PDF]
GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, 2015 RESUMEN El análisis de masas y tumores en mamografía es un problema difícil porque los signos del cáncer pueden ser mínimos o estar superpuestos en el tejido.
Damián Valdés Santiago +2 more
doaj +4 more sources
Revista de Teledetección, 2020 Para obtener información precisa sobre los cambios de la cubierta terrestre en el sector agrícola, proponemos un método de clasificación supervisada que integra las imágenes del satélite Sentinel-2 con las imágenes obtenidas de los Sistemas de Aeronaves ...
M. Ramírez +5 more
doaj +1 more source
Mid-infrared single-pixel imaging at the single-photon level
Nature Communications, 2023 The authors present an implementation of mid-infrared single-photon computational imaging with a single-element silicon detector. In addition to unique features of single-pixel simplicity and room-temperature operation, the infrared imager offers a ...
Yinqi Wang +5 more
semanticscholar +1 more source
Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel
Nature, 2023 Analysis of a large dataset of scanning transmission X-ray microscopy images of carbon-coated lithium iron phosphate nanoparticles shows that the heterogeneous reaction kinetics of battery materials can be learned from such videos pixel by pixel ...
Hongbo Zhao +10 more
semanticscholar +1 more source
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization [PDF]
IEEE International Conference on Computer Vision, 2019 We introduce Pixel-aligned Implicit Function (PIFu), an implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object.
Shunsuke Saito +5 more
semanticscholar +1 more source
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning [PDF]
Computer Vision and Pattern Recognition, 2020 Contrastive learning methods for unsupervised visual representation learning have reached remarkable levels of transfer performance. We argue that the power of contrastive learning has yet to be fully unleashed, as current methods are trained only on ...
Zhenda Xie +5 more
semanticscholar +1 more source
Efficient Image Super-Resolution Using Pixel Attention [PDF]
ECCV Workshops, 2020 This work aims at designing a lightweight convolutional neural network for image super resolution (SR). With simplicity bare in mind, we construct a pretty concise and effective network with a newly proposed pixel attention scheme.
Hengyuan Zhao +4 more
semanticscholar +1 more source
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations [PDF]
Computer Vision and Pattern Recognition, 2022 Annotating images with pixel-wise labels is a time consuming and costly process. Recently, DatasetGAN [78] showcased a promising alternative - to synthesize a large labeled dataset via a generative adversarial network (GAN) by exploiting a small set of ...
Daiqing Li +6 more
semanticscholar +1 more source
Clasificación automática de tipos de semilla de quinua a través de descriptores de color
INGENIERÍA: Ciencia, Tecnología e Innovación, 2018 Los agricultores de quinua para obtener cosechas optimas deben seleccionar de manera adecuada sus semillas a cultivar sin que se mezclen con otras variedades.
John C. Montalvo Samame +3 more
semanticscholar +1 more source