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...
In this research work, a novel dense Convolutional Neural Network (CNN) based deep learning model is proposed to accurately detect benign and malignant tumour classes using Wisconsin Breast Cancer dataset. The performance metrics such as accuracy, sensitivity, precision, F1-score, a...
In this paper we present the Dense Recurrent Residual Convolutional Neural Network(Dense R2U CNN) which is a synthesis of Recurrent CNN, Residual Network and Dense Convolutional Network based on the U-Net model architecture. The residual unit helps training deeper network, while the dense recurrent...
In this paper, we presented a novel MR image SR method based on a dense convolutional neural network (DDSR), and its enhanced version called EDDSR. There are three major innovations: first, we re-designed dense modules to extract hierarchical features directly from LR images and propagate the...
Although convolutional neural network-based (CNN-based) methods have made significant progress over the past decade, they lack the ability to model long-range interactions. Recently, the transformer method has been successfully applied to the tasks of computer vision. It has a strong ability to ...
High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction 来自 NCBI 喜欢 0 阅读量: 121 作者:N Meng,KH So,X Sun,EY Lam 摘要: We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super...
Ye et al.8 proposed a self-supervised learning framework for a monocular depth estimation Convolutional Neural Network (CNN) model, which is an improved version of DeConvNet19. They used the disparity information obtained by a classical stereo algorithm from a stereo image pair as a self-...
High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction - monaen/LightFieldReconstruction
【论文笔记】CrowdNet: A Deep Convolutional Network for Dense Crowd Counting,程序员大本营,技术文章内容聚合第一站。
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。