Choroidal neovascularization Convolutional neural networksSurrogate model Genetic programmingChoroidal neovascularization (CNV), which will cause deterioration of the vision, is characterized by the growth of abnormal blood vessels in the choroidal layer. Estimating the area of CNV is......
本文中构造ACFG的思路参考DSN‘19文章《Classifying Malware Represented as CFG using Deep Graph Convolutional Neural Network》。图中节点属性共12维度,包括数字常量个数、字符常量数目、Mov命令数目等。 ACFG中节点属性 本文着重对比GNNExplainer,SubgraphX和PGExplainer三种GNN可解释性方法。 GNNExplainer,学习一个N X...
This is the official repository for paper "Explaining Deep Convolutional Neural Networks via Unsupervised Visual-Semantic Filter Attention" to appear in CVPR 2022. Authors: Yu Yang, Seungbae Kim, Jungseock Joo Datasets Common Objects in Context (COCO) Please follow the instructions in the COCO API...
K. Simonyan, A. V edaldi, and A. Zisserman. Deep inside convolutional networks: Visualising image classification models and saliency maps. InWorkshop Proc. ICLR, 2014. P. M. Rasmussen, T. Schmah, K. H. Madsen, T. E. Lund, S. C. Strother, and L. K. Hansen. Visualization of no...
Deep feature extraction and classification of hyperspectral images based on convolutional neural networks. IEEE Trans. Geosci. Remote Sens. 54, 6232–6251 (2016). Article ADS Google Scholar Xu, Y. et al. Deep learning of feature representation with multiple instance learning for medical image ...
For instance, some tasks may be heavily reliant on matrix multiplications, while others might focus more on convolutions (such as in the case of Convolutional Neural Networks, or CNNs). The type of operations being performed can significantly impact the effective performance of a processor, ...
In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network to... B Zhou,A Khosla,A Lapedriza,... - IEEE Computer Society 被引量: 755发表: 2016年 Multimodal Compact Bilinear Pooling for Visual...
Training the PilotNet Self-Driving Car System A previousblog postdescribes an end-to-end learning system for self-driving cars in which aconvolutional neural network(CNN) is trained to output steering commands given input images of the road ahead. This system is now called PilotNet. ...
In this study, we propose using layer-wise relevance propagation (LRP) to visualize convolutional neural network decisions for AD based on MRI data. Similarly to other visualization methods, LRP produces a heatmap in the input space indicating the importance/relevance of each voxel contributing to ...
but is exposed as a fake when one visits points in space that do not have high probability in the data distribution. This is particularly disappointing because a popular approach in computer vision is to use convolutional network features as a space where Euclidean distance approximates perceptual ...