W Hao, W Hao, S Xing, L Minghao… - Journal of Computer …, 2021 - suxnju.github.io
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 …
D Gu, X Jin - Journal of Image and Signal Processing (S2325-6745 …, 2020 - pdf.hanspub.org
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: Semanticimagesegmentation with deep convolutional nets, atrous convolution, and fully connected crfs, ” IEEE transactions on Pattern Analysis and Machine Intelligence, pp.…
… of imagesegmentation, the imagesegmentation methods are systematically sorted out. Firstly, traditional imagesegmentation methods are introduced according to 6 types of methods …
… scene parseing network),DeepLabv3+(encoder-decoder with atrous separable convolution for semanticimagesegmentation)和MCNN(multi-class convolutional neural network)等算法…
… 摘要(英) Bone-subtraction is an imageprocessing technique that is often used in clinical settings to enhance computed tomography angiography (CTA) interpretation. With the newly …
… The ground truth in imagesegmentation is … imagesegmentation results to reduce the cost of ground truth data output. Recently, in the research of semanticsegmentation based on deep …
… DeepLab: semanticimagesegmentation 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 semanticimagesegmentation, we facilitate a new dual-branch semanticsegmentationnetwork in terms of strip pooling and attention mechanism (…