Aiming at the navigation problem of unmanned vehicles in extreme environments such as communication interference and limited GPS signals, this study proposes an autonomous navigation method based on binocular cameras....
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Multi-image super-resolution consists in fusing multiple images of the same scene to generate an image of higher spatial resolution. Recently, it has been demonstrated that for remotely sensed multispectral Sentine1-2...
Multi-image super-resolution consists in fusing multiple images of the same scene to generate an image of higher spatial resolution. Recently, it has been demonstrated that for remotely sensed multispectral Sentine1-2 images, fusion performed in both spectral and temporal dimensions improves the reconstruction quality. However, the deep networks elaborated for this purpose are quite large and influence of the input data is difficult to interpret. In this paper, we show how to exploit transformer-based image fusion to reduce the number of trainable parameters by 30% and allow for increased interpretability with means of attention rollout. The reported experimental results performed over simulated and real-world data indicate that this does not affect the reconstruction quality, while at the same time the visualization tools may help in developing techniques for input data selection and preprocessing.
The D programming language has been at the forefront of the memory safe programming languages scene. However, its adoption has been hindered by the scarce availability of 3rd party tools that aid software development ...
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作者：
Rusu, CristianIrofti, PaulUniversity Politehnica Bucharest
Faculty of Automatic Control and Computers Department of Automatic Control and Computers Bucharest Romania
University of Bucharest Faculty of Mathematics and Computer Science Department of Computer Science Bucharest Romania
Separable, or Kronecker product, dictionaries provide natural decompositions for 2D signals, such as images. In this paper, we describe a highly parallelizable algorithm that learns such dictionaries which reaches spa...
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Iris recognition is the biometric application of identifying individuals based on the appearance of the patterns contained by their irises. In this paper, we describe an efficient method for iris recognition using Sup...
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Generative Adversarial Network (GAN) is an algorithmic architecture containing two neural networks, placed against each other to generate new synthetic images and it has been used successfully in image segmentation. T...
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Memory corruption has been, traditionally, the number one cause for software vulnerabilities. As a consequence, programming languages that offer automated, compile time memory safety checks have been developed, such a...
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The Linux kernel is implemented in C, an unsafe programming language, which puts the burden of memory management, type and bounds checking, and error handling in the hands of the developer. Hundreds of buffer overflow...
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The information on the structure of the forest has been of high interest for a long time, being related to the possibilities of maximizing the wood production in the conditions of ensuring ecological stability, but al...
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In this paper, we propose an intelligent scoring system based on genetic algorithms to provide students with exams for their level of study. The system is reactive, adapting the exam to the student's level using g...
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