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Recent progress in semantic image segmentation [PDF]
Artificial Intelligence Review, 2018 Pubulished at Artificial Intelligence ...
Zhidong Deng, Xiaolong Liu
exaly +4 more sources
Semantic Segmentation by Semantic Proportions [PDF]
SensorsSemantic segmentation is a critical task in computer vision aiming to identify and classify individual pixels in an image, with numerous applications, for example, in autonomous driving and medical image analysis.
Halil Ibrahim Aysel +2 more
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Research Review of Image Semantic Segmentation Method in High-Resolution Remote Sensing Image Interpretation [PDF]
Jisuanji kexue yu tansuo, 2023 Rapid acquisition of remote sensing information has important research significance for the development of image semantic segmentation methods in remote sensing image interpretation applications.
MA Yan, Gulimila·Kezierbieke
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Personalized Image Semantic Segmentation [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 appeared at ...
Yu Zhang +4 more
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Survey of Research in Image Semantic Segmentation Based on Deep Neural Network [PDF]
Jisuanji gongcheng, 2020 With the rapid development of deep learning and its widespread applications in semantic segmentation,the quality of semantic segmentation has been significantly improved.This paper reviews and analyzes the mainstream deep neural network-based methods in ...
JING Zhuangwei, GUAN Haiyan, PENG Daifeng, YU Yongtao
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Survey of Image Semantic Segmentation Methods Based on Deep Neural Network
Jisuanji kexue yu tansuo, 2021 Image semantic segmentation is a hot research topic in the field of computer vision in recent years. With the rise of deep learning technology, image semantic segmentation and deep learning technology are integrated and developed, which has made ...
XU Hui, ZHU Yuhua, ZHEN Tong, LI Zhihui
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Satellite Image Semantic Segmentation
CoRR, 2021 8 pages, 3 ...
Guérin, Eric +3 more
openaire +4 more sources
Image Semantic Segmentation Method with Hierarchical Feature Fusion
Jisuanji kexue yu tansuo, 2021 When image feature information extraction is performed by using convolutional networks in the image semantic segmentation, the feature information between levels is not used effectively, resulting in image segmentation accuracy impaired.
ZHAO Xiaoqiang, XU Huiping
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2D Semantic Segmentation: Recent Developments and Future Directions
Future Internet, 2023 Semantic segmentation is a critical task in computer vision that aims to assign each pixel in an image a corresponding label on the basis of its semantic content.
Yu Guo +3 more
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A Survey of Weakly-supervised Image Semantic Segmentation Based on Image-level Labels
Taiyuan Ligong Daxue xuebao, 2021 According to the different ways of image-level label location inference, the weakly-supervised image semantic segmentation methods with image-level labels were divided into superpixel-based methods and classification-network-prior based methods.
Xinlin XIE +5 more
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