Vibus: Data-efficient 3d scene parsing with viewpoint bottleneck and uncertainty-spectrum modeling
Recently, 3D scenes parsing with deep learning approaches has been a heating topic.
However, current methods with fully-supervised models require manually annotated point …
However, current methods with fully-supervised models require manually annotated point …
Road-side individual tree segmentation from urban MLS point clouds using metric learning
P Wang, Y Tang, Z Liao, Y Yan, L Dai, S Liu, T Jiang - Remote Sensing, 2023 - mdpi.com
As one of the most important components of urban space, an outdated inventory of road-side
trees may misguide managers in the assessment and upgrade of urban environments …
trees may misguide managers in the assessment and upgrade of urban environments …
[HTML][HTML] A self-attention based global feature enhancing network for semantic segmentation of large-scale urban street-level point clouds
Q Chen, Z Zhang, S Chen, S Wen, H Ma… - International Journal of …, 2022 - Elsevier
Point clouds of large-scale urban street scenes contain large quantities of object categories
and rich semantic information. The semantic segmentation is the basis and key to …
and rich semantic information. The semantic segmentation is the basis and key to …
[HTML][HTML] PReFormer: A memory-efficient transformer for point cloud semantic segmentation
PH Akwensi, R Wang, B Guo - … Journal of Applied Earth Observation and …, 2024 - Elsevier
The success of transformer networks in the natural language processing and 2D vision
domains has encouraged the adaptation of transformers to 3D computer vision tasks …
domains has encouraged the adaptation of transformers to 3D computer vision tasks …
Three-dimensional quantification of apple phenotypic traits based on deep learning instance segmentation
X Dong, WY Kim, Y Zheng, JY Oh, R Ehsani… - … and Electronics in …, 2023 - Elsevier
Abstract Estimating three-dimensional (3D) fruit-level phenotypic traits of apple trees can
potentially improve apple orchard breeders' management strategy. However, the phenotypic …
potentially improve apple orchard breeders' management strategy. However, the phenotypic …
Research on deep learning-based point cloud semantic segmentation for offshore drilling platforms
H Yu, X Zhang, L Zhang, C Ran - Ocean Engineering, 2024 - Elsevier
Offshore drilling platforms (ODP) require effective deformation monitoring and damage
detection in the wellhead space for operational maintenance. LiDAR technology, replacing …
detection in the wellhead space for operational maintenance. LiDAR technology, replacing …
PointMM: Point Cloud Semantic Segmentation CNN under Multi-Spatial Feature Encoding and Multi-Head Attention Pooling
R Chen, J Wu, Y Luo, G Xu - Remote Sensing, 2024 - mdpi.com
For the actual collected point cloud data, there are widespread challenges such as semantic
inconsistency, density variations, and sparse spatial distribution. A network called PointMM …
inconsistency, density variations, and sparse spatial distribution. A network called PointMM …
SemRegionNet: Region ensemble 3D semantic instance segmentation network with semantic spatial aware discriminative loss
The semantic instance segmentation task on 3D data has made great progress. However,
for unstructured 3D point cloud data, the mining of regional knowledge and explicit …
for unstructured 3D point cloud data, the mining of regional knowledge and explicit …
Multimodal dynamic graph convolutional network for crowdfunding success prediction
Crowdfunding creates opportunities for creative people to raise funds so their ideas can be
brought to life. However, the failure of fundraising leads to certain losses for project starters …
brought to life. However, the failure of fundraising leads to certain losses for project starters …
Three-dimensional geometry reconstruction method for slowly rotating space targets utilizing ISAR image sequence
For a slowly rotating space target (SRST) with a fixed axis, traditional 3D geometry
reconstruction methods become invalid as the projection vectors cannot be formed without …
reconstruction methods become invalid as the projection vectors cannot be formed without …