Turnitin 降AI改写 早检测系统 早降重系统 Turnitin-UK版 万方检测-期刊版 维普编辑部版 Grammarly检测 Paperpass检测 checkpass检测 PaperYY检测
[Free GPT-4]
[DeepSeek]
[PDF] mdpi.com

Recent advances and perspectives in deep learning techniques for 3D point cloud data processing

Z Ding, Y Sun, S Xu, Y Pan, Y Peng, Z Mao - Robotics, 2023 - mdpi.com
In recent years, deep learning techniques for processing 3D point cloud data have seen
significant advancements, given their unique ability to extract relevant features and handle …
Salvați Citați Citat de 23 ori Articole cu conținut similar Toate cele 5 versiuni În cache

Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive review

DP Singh, M Yadav - International Journal of Remote Sensing, 2024 - Taylor & Francis
Point cloud has emerged as the most popular three-dimensional (3D) data format in recent
years for several scientific and industrial applications. Point cloud semantic segmentation …
Salvați Citați Citat de 8 ori Articole cu conținut similar Toate cele 3 versiuni

AAGNet: A graph neural network towards multi-task machining feature recognition

H Wu, R Lei, Y Peng, L Gao - Robotics and Computer-Integrated …, 2024 - Elsevier
Machining feature recognition (MFR) is an essential step in computer-aided process
planning (CAPP) that infers manufacturing semantics from the geometric entities in CAD …
Salvați Citați Citat de 23 ori Articole cu conținut similar Toate cele 2 versiuni
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Nesf: Neural semantic fields for generalizable semantic segmentation of 3d scenes

S Vora, N Radwan, K Greff, H Meyer, K Genova… - ar** point clouds
B **ang, Y Yue, T Peters, K Schindler - ISPRS Journal of Photogrammetry …, 2023 - Elsevier
Abstract 3D point cloud panoptic segmentation is the combined task to (i) assign each point
to a semantic class and (ii) separate the points in each class into object instances. Recently …
Salvați Citați Citat de 8 ori Articole cu conținut similar Toate cele 5 versiuni