An improved Deeplabv3+ semantic segmentation algorithm with multiple loss constraints [PDF]
PLoS ONE, 2022 Aiming at the problems of low segmentation accuracy and inaccurate object boundary segmentation in current semantic segmentation algorithms, a semantic segmentation algorithm using multiple loss function constraints and multi-level cascading residual ...
Yunyan Wang +3 more
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IEEE Access, 2023 With the rapid development of deep learning technology, the accuracy of image semantic segmentation tasks has been greatly improved. However, indoor RGB-D semantic segmentation remains a challenging problem because of the complexity of indoor ...
Yunping Zheng +5 more
doaj +3 more sources
Image Style Transfer Algorithm Based on Semantic Segmentation [PDF]
IEEE Access, 2021 Most of the existing image style transfer algorithms transfer the whole image style as a whole. Style feature is a set of correlation matrix based on style image, namely Gram matrix. Each matrix is a global description of the style image.
Zhijie Lin +7 more
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Implementation of a Lightweight Semantic Segmentation Algorithm in Road Obstacle Detection. [PDF]
Sensors (Basel), 2020 Due to deep learning’s accurate cognition of the street environment, the convolutional neural network has achieved dramatic development in the application of street scenes. Considering the needs of autonomous driving and assisted driving, in a general way, computer vision technology is used to find obstacles to avoid collisions, which has made semantic
Liu B, Lv Y, Gu Y, Lv W.
europepmc +5 more sources
A Semantic Segmentation Algorithm Using FCN with Combination of BSLIC
Applied Sciences, 2018 An image semantic segmentation algorithm using fully convolutional network (FCN) integrated with the recently proposed simple linear iterative clustering (SLIC) that is based on boundary term (BSLIC) is developed.
Wei Zhao +4 more
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An Algorithm for Scene Text Detection Using Multibox and Semantic Segmentation
Applied Sciences, 2019 An outside mutual correction (OMC) algorithm for natural scene text detection using multibox and semantic segmentation was developed. In the OMC algorithm, semantic segmentation and multibox were processed in parallel, and the text detection results were
Hongbo Qin +5 more
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WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
IEEE Access, 2019 Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou +4 more
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RAD-UNet: Research on an improved lung nodule semantic segmentation algorithm based on deep learning. [PDF]
Front Oncol, 2023 Wu Z, Li X, Zuo J.
europepmc +2 more sources
Semantic Segmentation Algorithm Combined with Edge Detection [PDF]
Jisuanji gongcheng, 2021 To address the fuzzy and inaccurate target edges in semantic segmentation,a semantic segmentation network combined with edge detection is proposed.The network consists of an edge detection network and a semantic segmentation network.The edge detection ...
WANG Nan, HOU Zhiqiang, ZHAO Mengqi, YU Wangsheng, MA Sugang
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Real-time Semantic Segmentation Method Based on Multi-path Feature Extraction [PDF]
Jisuanji kexue, 2022 The application of deep learning in the field of image semantic segmentation has greatly improved the accuracy of segmentation,but due to the limitations of speed and memory,these models can not be directly applied to embedded devices for real-time ...
CHENG Cheng, JIANG Ai-lian
doaj +1 more source