Results 11 to 20 of about 91,253 (217)

Attention-Based Joint Semantic-Instance Segmentation of 3D Point Clouds

Advances in Electrical and Computer Engineering, 2022
In this paper, we propose an attention-based instance and semantic segmentation joint approach, termed ABJNet, for addressing the instance and semantic segmentation of 3D point clouds simultaneously.
HAO, W., WANG, H., LIANG, W., ZHAO, M., XIAO, Z.   +4 more
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Multi-scale YOLACT for instance segmentation

Journal of King Saud University: Computer and Information Sciences, 2022
The mainstream instance segmentation is a comprehensive computer vision task, which involves computer vision tasks such as image classification, object detection, and semantic segmentation.
Jiexian Zeng, Huan Ouyang, Min Liu, LU Leng, Xiang Fu   +4 more
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An Innovative Deep Learning Approach for Image Semantic and Instance Segmentation

Journal of Computing and Information Technology, 2023
In this study, we propose a segmentation model based on convolutional neural networks (CNNs) to address image segmentation challenges in computer vision.
Chuangchuang Chen, Guang Gao, Linlin Liu, Yangyang Qiao   +3 more
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Instance Segmentation in Very High Resolution Remote Sensing Imagery Based on Hard-to-Segment Instance Learning and Boundary Shape Analysis

Remote Sensing, 2021
Although great success has been achieved in instance segmentation, accurate segmentation of instances remains difficult, especially at object edges. This problem is more prominent for instance segmentation in remote sensing imagery due to the diverse ...
Yiping Gong, Fan Zhang, Xiangyang Jia, Zhu Mao, Xianfeng Huang, Deren Li   +5 more
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Instance segmentation ship detection based on improved Yolov7 using complex background SAR images

Frontiers in Marine Science, 2023
It is significant for port ship scheduling and traffic management to be able to obtain more precise location and shape information from ship instance segmentation in SAR pictures.
Muhammad Yasir, Lili Zhan, Shanwei Liu, Jianhua Wan, Md Sakaouth Hossain, Arife Tugsan Isiacik Colak, Mengge Liu, Qamar Ul Islam, Syed Raza Mehdi, Qian Yang   +9 more
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Improved Instance Segmentation Method Based on Anchor-Free Segmentation Network [PDF]

Jisuanji gongcheng, 2022
In autonomous driving application scenarios, the existing anchor-free instance segmentation methods have problems such as large target features covering small target features, lack of a Region Of Interest (ROI)-Align operation in the two-stage detector ...
LIU Teng, LIU Hongzhe, LI Xuewei, XU Cheng
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An Elliptic Centerness for Object Instance Segmentation in Aerial Images

Journal of Remote Sensing, 2022
Instance segmentation in aerial images is an important and challenging task. Most of the existing methods have adapted instance segmentation algorithms developed for natural images to aerial images.
Yixin Luo, Jiaming Han, Zhou Liu, Mi Wang, Gui-Song Xia   +4 more
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Convolutional neural network-based automated segmentation and labeling of the lumbar spine X-ray

Journal of Craniovertebral Junction and Spine, 2021
Purpose: This study investigated the segmentation metrics of different segmentation networks trained on 730 manually annotated lateral lumbar spine X-rays to test the generalization ability and robustness which are the basis of clinical decision support ...
Sandor Konya, T R Sai Natarajan, Hassan Allouch, Kais Abu Nahleh, Omneya Yakout Dogheim, Heinrich Boehm   +5 more
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Automatic fault instance segmentation based on mask propagation neural network

Artificial Intelligence in Geosciences, 2020
Fault interpretation plays a critical role in understanding the crustal development and exploring the subsurface reservoirs such as gas and oil. Recently, significant advances have been made towards fault semantic segmentation using deep learning ...
Ruoshui Zhou, Yufei Cai, Jingjing Zong, Xingmiao Yao, Fucai Yu, Guangmin Hu   +5 more
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JSMNET: IMPROVING INDOOR POINT CLOUD SEMANTIC AND INSTANCE SEGMENTATION THROUGH SELF-ATTENTION AND MULTISCALE FUSION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
The semantic understanding of indoor 3D point cloud data is crucial for a range of subsequent applications, including indoor service robots, navigation systems, and digital twin engineering. Global features are crucial for achieving high-quality semantic
S. Xu, S. Xu, Z. Zhang, Z. Zhang
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