Results 21 to 30 of about 24,548 (256)
Design of Mandibular Angle Osteotomy Plane Based on Point Cloud Semantic Segmentation Algorithm
Shanghai Jiaotong Daxue xuebao, 2022 Mandibular angle osteotomy is a popular craniofacial plastic surgery in recent years. Usually, preoperative planning of mandibular angle osteotomy is completed by an experienced doctor, which is cumbersome and time-consuming.
LÜ Chaofan, YAN Yingjie, LIN Li, CHAI Gang, BAO Jinsong
doaj +1 more source
An Abstraction Model for Semantic Segmentation Algorithms
CoRR, 2019 This is the corrected version of the previously submitted paper. Many grammatical and spelling errors are now corrected.
Reihaneh Teymoori +3 more
openaire +2 more sources
IET Computer Vision, 2021 Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, a novel framework called joint 3D semantic‐instance segmentation via multi‐scale Semantic Association and Salient point clustering ...
Jingang Tan +4 more
doaj +1 more source
Detail Guided Multilateral Segmentation Network for Real-Time Semantic Segmentation
Applied Sciences, 2022 With the development of unmanned vehicles and other technologies, the technical demand for scene semantic segmentation is more and more intense.
Qunyan Jiang +6 more
doaj +1 more source
GEOMETRIC PRIMITIVE EXTRACTION FROM SEMANTICALLY ENRICHED POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 3D point clouds are robust representations of real-world objects and usually contain information about the shape, size, position and radiometry of the scene.
S. Kyriakaki-Grammatikaki +5 more
doaj +1 more source
A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging [PDF]
IEEE Access, 2021 Semantic segmentation annotation helps train computer vision based Artificial Intelligence models where each image pixel is assigned to a specific object class. The model developers try to identify the features helpful for determining the objects of interest by using various supervised deep learning techniques.
Usman Ahmad Usmani +4 more
openaire +2 more sources
Stem Cells International, 2022 This work focused on the application value of magnetic resonance imaging (MRI) image segmentation algorithm based on fully convolutional DenseNet neural network (FCDNN) in glioma diagnosis.
Jie Dong +5 more
doaj +1 more source
Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds [PDF]
Hangkong bingqiThe semantic segmentation of infrared weak targets relies more on detailed texture features, and deeper network architecture are not suitable for semantic segmentation of infrared targets, making it difficult to accurately segment weak targets from ...
Ji Haoyu, Meng Weihua, Zhang Xinchao, Duan Jingfei, Zhang Meng
doaj +1 more source
Object-Level Semantic Segmentation on the High-Resolution Gaofen-3 FUSAR-Map Dataset
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Land cover classification with SAR images mainly focuses on the utilization of fully polarimetric SAR (PolSAR) images. The conventional task of PolSAR classification is single-pixel-based region-level classification using polarimetric target ...
Xianzheng Shi +4 more
doaj +1 more source
A video coverless information hiding algorithm based on semantic segmentation [PDF]
EURASIP Journal on Image and Video Processing, 2020 AbstractDue to the fact that coverless information hiding can effectively resist the detection of steganalysis tools, it has attracted more attention in the field of information hiding. At present, most coverless information hiding schemes select text and image as transmission carriers, while there are few studies on emerging popular media such as ...
Nan Pan +4 more
openaire +2 more sources