… model guides the generation of image description by fusing image and text features as
input. The text features contain the semantics of keywords of images, as a supplement to image …

… The LDA model is a machine learning-based model, mainly used for topic extraction and
classification in text analysis[45]~[49]. This study focuses on following questions: when …

… on the convolutional neural network and the conditional random field, in combination with
the identification of buffer area and the Linear Referencing based pipeline segmentation. Thus…

… deep learning methods to medical image segmentation, … of GPUs, deep learning methods
for image recognition and … of deep learning in cardiac MR image segmentation. We utilize …

… deep learning have been widely used in various industrial scenarios. This paper reviews the
latest works on deep learning … separable convolution for semantic image segmentation. In: …

… Machine vision detection of foreign objects in coal using deep learning[J]. Journal of Mining
… , a multi-scale feature fusion semantic segmentation network structure is proposed for end-to-…

… imaging tasks, especially in image segmentation, registration, detection and … machine
learning, and in particular deep learning, to solve individual computer vision and medical image …

… from mass data of biomedical images as guide for basic research and clinical application.
In … and machine learning, especially the appearance and application of deep learning, the …

… geohazard identification method based on deep learning network. In this study, … semantic
segmentation model of remote sensing images of seismic geohazards based on deep learning…

: 提出一种基于MobileNet 的轻型火焰检测方法, 基于深度分离卷积和膨胀卷积的膨胀卷积模块(dilated
convolution block, DCB) 扩增特征的感受野, 加强特征语义信息, 提高了视频火焰目标的…