Zobrazeno 1 - 10
of 133 260
pro vyhledávání: '"Point Clouds"'
Autor:
Ge, Binfu1 (AUTHOR) 202222070206@std.uestc.edu.cn, Chen, Shengyi1 (AUTHOR) chenshengyi@std.uestc.edu.cn, He, Weibing1 (AUTHOR) heweibing222@outlook.com, Qiang, Xiaoyong1 (AUTHOR) 202122070207@std.uestc.edu.cn, Li, Jingmei2 (AUTHOR) lijingmei2024@spacechina.com, Teng, Geer2 (AUTHOR) tengge@aircas.ac.cn, Huang, Fang1 (AUTHOR) hfhbhzp@uestc.edu.cn
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 20, p3763. 27p.
Autor:
Tapia-Zapata, Nicolas1 (AUTHOR), Saha, Kowshik Kumar1 (AUTHOR), Tsoulias, Nikos1 (AUTHOR), Zude-Sasse, Manuela1 (AUTHOR) mzude@atb-potsdam.de
Publikováno v:
International Journal of Food Properties. 2024, Vol. 27 Issue 1, p566-583. 18p.
Recently, 3D backdoor attacks have posed a substantial threat to 3D Deep Neural Networks (3D DNNs) designed for 3D point clouds, which are extensively deployed in various security-critical applications. Although the existing 3D backdoor attacks achie
Externí odkaz:
http://arxiv.org/abs/2412.07511
With the maturity of depth sensors in various 3D safety-critical applications, 3D point cloud models have been shown to be vulnerable to adversarial attacks. Almost all existing 3D attackers simply follow the white-box or black-box setting to iterati
Externí odkaz:
http://arxiv.org/abs/2412.00404
Test-time adaptation (TTA) of 3D point clouds is crucial for mitigating discrepancies between training and testing samples in real-world scenarios, particularly when handling corrupted point clouds. LiDAR data, for instance, can be affected by sensor
Externí odkaz:
http://arxiv.org/abs/2411.14495
Autor:
Ren, Jing, Wang, Pei, Li, Hanlong, Wu, Yuhan, Gao, Yuhang, Chen, Wenxin, Zhang, Mingtai, Zhang, Lingyun
In recent years, terrestrial laser scanning technology has been widely used to collect tree point cloud data, aiding in measurements of diameter at breast height, biomass, and other forestry survey data. Since a single scan from terrestrial laser sys
Externí odkaz:
http://arxiv.org/abs/2411.13069
Robotic fruit monitoring is a key step toward automated agricultural production systems. Robots can significantly enhance plant and temporal fruit monitoring by providing precise, high-throughput assessments that overcome the limitations of tradition
Externí odkaz:
http://arxiv.org/abs/2411.07799
Patients undergoing total knee arthroplasty (TKA) often experience non-specific anterior knee pain, arising from abnormal patellofemoral joint (PFJ) instability. Tracking PFJ motion is challenging since static imaging modalities like CT and MRI are l
Externí odkaz:
http://arxiv.org/abs/2411.08926
Transformers have become dominant in large-scale deep learning tasks across various domains, including text, 2D and 3D vision. However, the quadratic complexity of their attention mechanism limits their efficiency as the sequence length increases, pa
Externí odkaz:
http://arxiv.org/abs/2411.00151
Publikováno v:
NeurIPS 2024
Open-vocabulary 3D object detection (OV-3Det) aims to generalize beyond the limited number of base categories labeled during the training phase. The biggest bottleneck is the scarcity of annotated 3D data, whereas 2D image datasets are abundant and r
Externí odkaz:
http://arxiv.org/abs/2410.24001