Image Classification and Categorization

Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning – Frontiers

1. Introduction In recent years, computer vision approaches based on machine learning (ML) and, in particular, those based on deep convolutional neural networks have demonstrated significant performance improvements over conventional approaches for image classification and annotation (Krizhevsky et al., 2012; Tan and Le, 2019; Zhai et al., 2021). However, these algorithms generally require a large and diverse set of annotated data to generate accurate classifications. Large amounts of annotated data are not always available, especially for tasks where producing high-quality meta-data is costly, such as image-based medical diagnosis (Cheplygina et…

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Deep Learning Architectures

Is it enough to optimize CNN architectures on ImageNet? – Frontiers

1. Introduction Deep convolutional neural networks (CNNs) are the core building block for most modern visual recognition systems and lead to major breakthroughs in many domains of computer perception in the past several years. Therefore, the community has been searching the high dimensional space of possible network architectures for models with desirable properties. Important milestones such as DanNet (Ciresan et al., 2012), AlexNet (Krizhevsky et al., 2012), VGG (Simonyan and Zisserman, 2015), HighwayNet (Srivastava et al., 2015), and ResNet (He et al., 2016) (a HighwayNet with open gates) can be…

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Deep Learning Architectures

Intelligent Spacecraft Visual GNC Architecture With the State-Of-the-Art AI Components for On-Orbit Manipulation – Frontiers

Introduction With the increasing interest in orbital robotic manipulation for on-orbit servicing missions, the future Guidance, Navigation, and Control (GNC) systems are inclined to implement intelligent on-board systems with greater autonomy to address the challenges associated with the time-critical and highly unpredictable scenarios. To clarify the definition of GNC for future space robotic systems, we have included the manipulation of the robotic arms together with the conventional spacecraft GNC system, such as the Attitude and Orbit Control System (AOCS). Both these systems should be seamlessly integrated in order to fully…

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Deep Learning Architectures

How can AI cope with changing categories? – EurekAlert

video:  Bar-Ilan University researchers have uncovered a new universal law detailing how artificial neural networks handle an increasing number of categories for identification. This law demonstrates how the identification error rate of such networks increases with the number of required recognizable objects. view more  Credit: Prof. Ido Kanter, Bar-Ilan University The real world possesses many challenges for AI missions. One of those challenges is the requirement that machines will be able to recognize and quickly learn new objects which they have not seen before. An AI robust to changes will…

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Image Classification and Categorization

2024 Tour de France jersey colours and classifications explained – BikeRadar

To a first-time viewer, the Tour de France can be a minefield. The winner is not simply decided by which rider crosses the finish line first. How can a rider win multiple stages and not wear the yellow jersey? What is that polka dot jersey about? And what’s with all the jargon they use? Here’s our full guide to how the Tour de France is won: the classifications, the jerseys and the previous winners. Tour de France classifications explained – what do the different jersey colours mean? The four leaders…

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Deep Learning Architectures

Automatic classification of normal and abnormal cell division using deep learning | Scientific Reports – Nature.com

Abstract In recent years, there has been a surge in the development of methods for cell segmentation and tracking, with initiatives like the Cell Tracking Challenge driving progress in the field. Most studies focus on regular cell population videos in which cells are segmented and followed, and parental relationships annotated. However, DNA damage induced by genotoxic drugs or ionizing radiation produces additional abnormal events since it leads to behaviors like abnormal cell divisions (resulting in a number of daughters different from two) and cell death. With this in mind, we…

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