An improved convolutional neural network algorithm and its application in multilabel image labeling
J Cao, C Wu, L Chen, H Cui… - Computational …, 2019 - Wiley Online Library
In today's society, image resources are everywhere, and the number of available images
can be overwhelming. Determining how to rapidly and effectively query, retrieve, and …
can be overwhelming. Determining how to rapidly and effectively query, retrieve, and …
Web image annotation based on Tri-relational Graph and semantic context analysis
Web image annotation has became a hot research topic owing to massive image data and
abundant semantic context. In this paper, we propose a Tri-relational Graph (TG) model for …
abundant semantic context. In this paper, we propose a Tri-relational Graph (TG) model for …
多模型融合的多标签图像自动标注
张静， 胡微微， 陈志华， 袁玉波 - 计算机辅助设计与图形学学报, 2014 - jcad.cn
为了实现更为准确的复杂语义内容图像理解, 提出一种融合多模型的多标签图像自动标注方法.
该方法采用3 个不同的模型分别对图像语义内容进行分析: 在前景语义概念检测中 …
该方法采用3 个不同的模型分别对图像语义内容进行分析: 在前景语义概念检测中 …
Improve multi-label image classification using adversarial network
In order to classify multi-label images more effectively, an improved convolution neural
network model is proposed. The model learns multi-scale features in multi-label images by …
network model is proposed. The model learns multi-scale features in multi-label images by …
一种基于改进的支持向量机多分类器图像标注方法
吴伟， 聂建云， 高光来 - 计算机工程与科学, 2015 - joces.nudt.edu.cn
针对多标签图像标注问题, 提出一种改进的支持向量机多分类器图像标注方法.
首先引入直方图交叉距离作为核函数, 然后把传统支持向量机的输出值变换为样本到超平面的 …
首先引入直方图交叉距离作为核函数, 然后把传统支持向量机的输出值变换为样本到超平面的 …
Multilabel Image Annotation Based on Double‐Layer PLSA Model
J Zhang, D Li, W Hu, Z Chen… - The Scientific World …, 2014 - Wiley Online Library
Due to the semantic gap between visual features and semantic concepts, automatic image
annotation has become a difficult issue in computer vision recently. We propose a new …
annotation has become a difficult issue in computer vision recently. We propose a new …