Semantic Segmentation Method for Sparse Point Clouds Based on Straight Flow Completion and Multi-Feature Fusion [PDF]
Point cloud semantic segmentation is a vital task in 3D computer vision. However, the inherent sparsity of point clouds complicates the segmentation process.
Tong Zheng +4 more
doaj +2 more sources
Semantic Segmentation Algorithm Combined with Edge Detection [PDF]
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
doaj +1 more source
Segmenter: Transformer for Semantic Segmentation [PDF]
Image segmentation is often ambiguous at the level of individual image patches and requires contextual information to reach label consensus. In this paper we introduce Segmenter, a transformer model for semantic segmentation. In contrast to convolution-based methods, our approach allows to model global context already at the first layer and throughout ...
Strudel, Robin +3 more
openaire +3 more sources
SEMANTIC SEGMENTATION OF INDOOR 3D POINT CLOUDS BY JOINT OPTIMIZATION OF GEOMETRIC FEATURES AND NEURAL NETWORKS [PDF]
Indoor navigation, indoor robotics, and other deep applications of interior space can be realized through semantic segmentation of 3D point clouds. We propose a semantic segmentation method for point clouds that uses geometric features of point clouds ...
M. M. Yao +9 more
doaj +1 more source
Research Review of Image Semantic Segmentation Method in High-Resolution Remote Sensing Image Interpretation [PDF]
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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Progressive Semantic Segmentation [PDF]
Accepted to CVPR ...
Chuong Huynh +3 more
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Survey of Research in Image Semantic Segmentation Based on Deep Neural Network [PDF]
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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Semantic Segmentation by Semantic Proportions
Semantic segmentation is a critical task in computer vision aiming to identify and classify individual pixels in an image, with numerous applications in for example autonomous driving and medical image analysis. However, semantic segmentation can be highly challenging particularly due to the need for large amounts of annotated data.
Halil Ibrahim Aysel +2 more
openaire +2 more sources
Survey of Image Semantic Segmentation Methods Based on Deep Neural Network
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
doaj +1 more source
2D Semantic Segmentation: Recent Developments and Future Directions
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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