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Do Vision Transformers See Like Convolutional Neural Networks?

#ArtificialReality, Artificial Intelligence, arXiv, Creative Commons, D. Learning, Deep Learning (Article), English (Articles), English (Paper), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Machine Learning (Paper), news, Numbered, Open Access, Papers, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI, Research

Convolutional neural networks (CNNs) have so far been the de-facto model for visual data. Recent work has shown that (Vision) Transformer models (ViT) can achieve comparable or even superior performance on image classification tasks. This raises a central question: how are Vision Transformers solving these tasks? Are they acting like convolutional networks, or learning entirely […]

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YOLOX: Exceeding YOLO Series in 2021

#AutonomousVehicles, Artificial Intelligence, arXiv, Autonomous Vehicles (Paper), by, English (Articles), English (Paper), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Machine Learning (Article), news, Numbered, Open Access, Papers, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI, Research, TheAutomotive, Vehículos autónomos | 🇬🇧 Autonomous vehicles

We switch the YOLO detector to an anchor-free manner and conduct other advanced detection techniques, i.e., a decoupled head and the leading label assignment strategy SimOTA to achieve state-of-the-art results across a large scale range of models: For YOLO-Nano with only 0.91M parameters and 1.08G FLOPs, we get 25.3% AP on COCO, surpassing NanoDet by

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How to avoid machine learning pitfalls: a guide for academic researchers

#General, Artificial Intelligence, arXiv, Creative Commons, D. Learning, Educación | 🇬🇧 Education, English (Articles), English (Paper), Formación | 🇬🇧 Training, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Machine Learning (Article), Machine Learning (Paper), news, Numbered, Open Access, Opinion, Papers, Research, Researcher

This document gives a concise outline of some of the common mistakes that occur when using machine learning techniques, and what can be done to avoid them. It is intended primarily as a guide for research students, and focuses on issues that are of particular concern within academic research, such as the need to do

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YOLOP: You Only Look Once for Panoptic Driving Perception

#AutonomousVehicles, Artificial Intelligence, arXiv, Autonomous Vehicles (Paper), by, Content, Creative Commons, D. Learning, English (Articles), English (Paper), Importan to, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Machine Learning (Article), Numbered, Open Access, Papers, RECOMMENDATIONS, Research, TheAutomotive, Vehículos autónomos | 🇬🇧 Autonomous vehicles

A panoptic driving perception system is an essential part of autonomous driving. A high-precision and real-time perception system can assist the vehicle in making the reasonable decision while driving. We present a panoptic driving perception network (YOLOP) to perform traffic object detection, drivable area segmentation and lane detection simultaneously. It is composed of one encoder

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Framework based on parameterized images on ResNet to identify intrusions in smartwatches or other related devices

Artificial Intelligence, by-nc-nd, Ciberseguridad | 🇬🇧 Cybersecurity, cybersecurity, Cybersecurity (Articles), Cybersecurity (Paper), Educación | 🇬🇧 Education, English (Articles), English (Paper), Importan to, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, news, Numbered, Open Access, Openscience.online, Papers, Research, Spanish, TheSociety

The continuous appearance and improvement of mobile devices in the form of smartwatches, smartphones and other similar devices has led to a growing and unfair interest in putting their users under the magnifying glass and control of applications.

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Los datos como eje principal en el “Estado del arte de la ciencia de datos en el idioma español y su aplicación en el campo de la Inteligencia Artificial”

#Datascience, Artificial Intelligence, by, Creative Commons, Datascience (Paper), Español (Paper), Importan to, Inside The wall, InsidetheRss, ItvIA, news, Numbered, Open Access, Papers, Research, Spanish, TheSociety

Los resultados de este estudio son una evidencia del sesgo cultural que existe entre la lengua inglesa y la española en la ciencia de datos. De los 23.771 conjuntos de datos que se encontraron con fecha de consulta 12/04/2021, tan solo 10 se encontraban en castellano

Los datos como eje principal en el “Estado del arte de la ciencia de datos en el idioma español y su aplicación en el campo de la Inteligencia Artificial” Read More »

‘Framework’ basado en imágenes parametrizadas sobre ResNet para identificar intrusiones en ‘smartwatches’ u otros dispositivos afines

Artificial Intelligence, Best, by-nc-nd, Ciberseguridad | 🇬🇧 Cybersecurity, Content, Copyright, Creative Commons, cybersecurity, Cybersecurity (Paper), D. Learning, Educación | 🇬🇧 Education, Español (articles), Español (Paper), Formación | 🇬🇧 Training, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, ItvIA, news, Numbered, Open Access, Papers, RECOMMENDATIONS, Research, Spanish

La continua aparición y mejora de dispositivos móviles en forma de ‘smartwatches’, ‘smartphones’ y otros dispositivos similares ha propicio un creciente y desleal interés en poner bajo la lupa y el control de los aplicativos a sus usuarios. De forma ofuscada por los fabricantes.

‘Framework’ basado en imágenes parametrizadas sobre ResNet para identificar intrusiones en ‘smartwatches’ u otros dispositivos afines Read More »