The invention discloses a regional convolutional neural network-based method for extracting a ship target of a high-resolution remote sensing image, and belongs to the technical field of digital image processing. The method comprises the steps of (1) performing remote sensing image data preparation;...
Learning regional attention convolutional neural network for motion intention based on EEG 这篇论文创新点: 1、特征是频域-空间-时域的特征,和以往特征相比,更加全面。 2、 论文提出了RACNN, 适应性激活了不同脑区。 3、 论文集合了区域特征,这些区域特征通过cnn 这样的主框架,保证了一个固定长度的embedding。...
In order to capture more discriminative features between tampered and non-tampered regions, we propose an improved mask regional convolutional neural network (Mask R-CNN) which attach a Sobel filter to the mask branch of Mask R-CNN in this paper. The Sobel filter acts as an auxiliary task to...
Fig. 2: Optimum fully connected neural network model for estimating topsoil As content. Full size image Model evaluation and interpretation Fig. 3: Performance evaluation and explanation of the underlying mechanism of the optimum FCNN model.
pubmed google scholar crossref 43. li x, hect j, thomason m, zhu d. interpreting age effects of human fetal brain from spontaneous fmri using deep 3d convolutional neural networks. arxiv. preprint posted on june 9, 2019. https://arxiv.org/abs/1906.03691 44. thomason me...
We developed a USB detector based on faster regional convolutional neural network with a modified visual geometry group 16 (VGG16) backbone to solve this problem. To see the performance of our proposed USB detector, we compared it to the faster region based convolutional neural networks (R-CNN)...
In recent years, deep learning has been widely used in load forecasting with its strong learning capability and data feature extraction ability [6], with techniques such as convolutional neural networks (CNNs) [7, 8], long short-term memory (LSTM) [9, 10], recurrent neural networks (RNNs...
[72]. Images were corrected for intensity inhomogeneity using N4, blurred with a 3D Gaussian kernel (SD = 3 mm), and transformed to MNI template space. ACAPULCO then employed a cascade of two convolutional neural networks to first define a 3D-bounding box around the cerebellum and ...
Meet our Americas Finalists! Easy2Pet Brazil Easy 2 Pet - Share Love, Sow Life: Easy 2 Pet is an IoT project which, through the partnership of socially responsible companies, aims to feed street animals using a system of Convolutional Neural Network and Azure Storage Services. ...
convolutional neural network (CNN)real‐timeseismic damage predictiontime‐frequency distribution (TFD)Every year, earthquakes result in severe economic losses and a significant number of casualties worldwide. In limiting the losses that occur after these extreme events, timely and accurate assessment of...