Deep learning has revolutionized the analysis and interpretation of satellite and aerial imagery, addressing unique challenges such as vast image sizes and a wide array of object classes. This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and ...
Applying the Allreduce to Deep Learning ring allreduce是高性能计算领域中的一种众所周知的算法,但是在深度学习中却很少得到使用。 在我们的实验室中,我们设法使用此工具作为所有数据并行培训的基础,从而使我们可以有效地将培训扩展到数十个GPU。 为了最小化通信开销,我们可以利用神经网络的结构。 在每次迭代中,每...
of material. Otherwise, traditional methods used for this task are subjected to physics-based knowledge of the problem, such as damage imaging algorithms like delay-and-sum and RAPID. This paper presents an entirely data-driven approach, based on the ability of Deep Learning (DL) techniques (...
deep representations of an input image can be obtained using deep learning, which are relevant to the task at hand. For weed recognition, four types of deep learning approaches are used as illustrated in Fig.2: (a) image
DEEP LEARNING TECHNIQUES AND FRAMEWORKS 不同的深度学习算法有助于提高学习性能,拓宽应用范围,简化计算过程。然而,深度学习模型的训练时间过长仍然是研究人员面临的一个主要问题。此外,通过增加训练数据的大小和模型参数,可以大大提高分类精度。为了加速深度学习的处理,文献中提出了几种先进的技术。深度学习框架结合了模块...
In the MRC literature, various methodologies have been used for extracting answers from the given text including primitive methods to the deep learning methods to have a step towards deploying machine intelligence. The introduction of deep learning and large datasets in the recent few years has ...
In retrospect of what has been achieved so far, we also conjecture what the future may hold for deep learning-based stereo for depth estimation research.从RGB图像估算深度是一个长期存在的不适定问题,计算机视觉、图形学和机器学习领域已经对这个问题进行了数十年的研究。在现有的技术中,立体匹配仍然是...
data sets, deep learning has transformed fields such as computer vision and natural language processing. Now, it is becoming the method of choice for many genomics modelling tasks, including predicting the impact of genetic variation on gene regulatory mechanisms such as DNA accessibility and splicing...
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today’s Fourth
In this paper, we propose a combination of two powerful techniques, deep learning and parallel computing, to significantly reduce the complexity of the HEVC encoding engine. Our experimental results show that a combination of deep learning to reduce the CTU partitioning complexity with parallel ...