Zobrazeno 1 - 10
of 126 522
pro vyhledávání: '"Calibration method"'
Autor:
Hongwei Ren1,2 renhongweiwei@163.com, Yaowei Liu1
Publikováno v:
Earthquake Science. Oct2024, Vol. 37 Issue 5, p445-458. 14p.
As the scale of training corpora for large language models (LLMs) grows, model developers become increasingly reluctant to disclose details on their data. This lack of transparency poses challenges to scientific evaluation and ethical deployment. Rec
Externí odkaz:
http://arxiv.org/abs/2409.14781
Autor:
Sun, Zhen1 (AUTHOR) b20160007@s.upc.edu.cn, Wang, Zhenjie1 (AUTHOR) niezhixi@upc.edu.cn, Nie, Zhixi1 (AUTHOR), Jia, Chun2 (AUTHOR) jiachun@hrbeu.edu.cn, Shan, Rui3 (AUTHOR) shanrui@mail.cgs.gov.cn
Publikováno v:
Remote Sensing. Jul2024, Vol. 16 Issue 14, p2584. 19p.
Autor:
Lee, Jae-Lim1 (AUTHOR), Kim, Dong-Sun1 (AUTHOR) dongsun.kim07@sejong.ac.kr
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 21, p7058. 14p.
Continual learning (CL) is a fundamental topic in machine learning, where the goal is to train a model with continuously incoming data and tasks. Due to the memory limit, we cannot store all the historical data, and therefore confront the ``catastrop
Externí odkaz:
http://arxiv.org/abs/2407.20956
With the rapid development of autonomous driving and SLAM technology, the performance of autonomous systems using multimodal sensors highly relies on accurate extrinsic calibration. Addressing the need for a convenient, maintenance-friendly calibrati
Externí odkaz:
http://arxiv.org/abs/2406.11599
Autor:
Gao, Feng1 (AUTHOR), Xu, Yongjia1 (AUTHOR) y.xu2@hud.ac.uk, Li, Yanling1,2 (AUTHOR), Zhong, Wenbin1 (AUTHOR), Yu, Yang3 (AUTHOR), Li, Duo4 (AUTHOR), Jiang, Xiangqian1 (AUTHOR)
Publikováno v:
Nanomanufacturing & Metrology. 11/5/2024, Vol. 7 Issue 1, p1-14. 14p.
Autor:
Fan, Liming1 (AUTHOR) fanliming@jl1.cn, Jiang, Zhongjin1 (AUTHOR), Yu, Shuhai1 (AUTHOR) yushuhai@jl1.cn, Liu, Yunhe1 (AUTHOR), Wang, Dong1 (AUTHOR), Chen, Maosheng1 (AUTHOR)
Publikováno v:
Remote Sensing. Sep2024, Vol. 16 Issue 18, p3503. 20p.
Autor:
Ma, Xin, Zhu, Puchen, Li, Xiao, Zheng, Xiaoyin, Zhou, Jianshu, Wang, Xuchen, Au, Kwok Wai Samuel
Depth position highly affects lens distortion, especially in close-range photography, which limits the measurement accuracy of existing stereo vision systems. Moreover, traditional depth-dependent distortion models and their calibration methods have
Externí odkaz:
http://arxiv.org/abs/2404.19242