… This paper firstly puts forward an image semantic analysis process based on know… deep
learning model to describe image’s features. Image semantic knowledge fusion and processing …

Abstract In recent years, developments of visual perception techniques based on deep learning
have significantly promoted the prosperity of autonomous driving in Internet of vehicles …

Intrusion detection of moving targets at sea based on visible video is a very important
research topic. In this paper, the research status of moving target detection and recognition is …

… “Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution,
and fully connected crfs, ” IEEE transactions on Pattern Analysis and Machine Intelligence, pp.…

… of image segmentation, the image segmentation methods are systematically sorted out.
Firstly, traditional image segmentation methods are introduced according to 6 types of methods …

… scene parseing network),DeepLabv3+(encoder-decoder with atrous separable convolution
for semantic image segmentation)和MCNN(multi-class convolutional neural network)等算法…

… 摘要(英) Bone-subtraction is an image processing technique that is often used in clinical
settings to enhance computed tomography angiography (CTA) interpretation. With the newly …

… The ground truth in image segmentation is … image segmentation results to reduce the cost
of ground truth data output. Recently, in the research of semantic segmentation based on deep …

… DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution,
and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence…

… In order to improve the performance of semantic image segmentation, we facilitate a new
dual-branch semantic segmentation network in terms of strip pooling and attention mechanism (…