为了解决这些问题,此文[1]结合了扩张卷积 (dilated convolution) 和密集连接 (dense connection),提出了Mixed-Scale Dense Convolutional Network (MS-D网络),MS-D网络和传统的DCNN相比,提高了特征提取、特征传递的能力,在样本少的情况下,也获得了很好的效果。 MS-D网络结构示意图(图片来自论文[1]) 理论: 1、扩...
Depth Wise Separable Convolutional Neural NetworkDense U-NetGaussian filterAccurate brain tumors segmentation of from magnetic resonance imaging (MRI) is essential for the detection of brain cancer, treatment decision and the observation of therapeutic outcomes in patients. Traditional segmentation methods ...
Dense Residual Convolutional Neural Network based In-Loop Filter(DRNLF),程序员大本营,技术文章内容聚合第一站。
In spite of the fact that convolutional neural network-based stereo matching models have shown good performance in both accuracy and robustness, the issue of image feature loss in regions of texture-less, complex scenes and occlusions remains. In this paper, we present a dense convolutional neural...
To solve these problems, in this paper, we propose a two-stage real-time video smoke detection method base on dense optical flow and convolutional neural network. In the first stage, we propose a fast pre-positioning module to obtain suspicious smoke areas through the dynamic characteristics of...
Complex neural network such as Deep Neural Networks (DNNs) or Convolutional Neural Networks (CNNs) without PMF can increase an accuracy of a sensor model to a satisfied level18 but our more simple SDNN with PMF, the higher accuracy could be achieved. CNNs and DNNs without PMF were proven ...
codes for the JSTARS paper: Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images - rufernan/ADCNN
High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction - monaen/LightFieldReconstruction
Dense-CNN: Dense convolutional neural network for stereo matching using multiscale feature connection Signal Processing: Image Communication Volume 95,July 2021, Page 116285 Purchase options CorporateFor R&D professionals working in corporate organizations. ...
WebCNN is a browser-based Convolutional Neural Network framework. This is a personal project in the earliest stages of development, which I'm sharing publicly for those with academic interest. I have a live demo for the MNIST classification here:http://www.denseinl2.com/webcnn/digitdemo.html...