Zobrazeno 1 - 10
of 80 350
pro vyhledávání: '"detection and recognition"'
Autor:
Trivedi, Abhishek, Mukherjee, Sourajit, Singh, Rajat Kumar, Agarwal, Vani, Ramakrishnan, Sriranjani, Bhatt, Himanshu S.
Extraction of transaction information from bank statements is required to assess one's financial well-being for credit rating and underwriting decisions. Unlike other financial documents such as tax forms or financial statements, extracting the trans
Externí odkaz:
http://arxiv.org/abs/2412.12827
This paper shows how an uncertainty-aware, deep neural network can be trained to detect, recognise and localise objects in 2D RGB images, in applications lacking annotated train-ng datasets. We propose a self-supervising teacher-student pipeline, in
Externí odkaz:
http://arxiv.org/abs/2411.03082
Autor:
Nom, Vannkinh, Bakkali, Souhail, Luqman, Muhammad Muzzamil, Coustaty, Mickaël, Ogier, Jean-Marc
Developing effective scene text detection and recognition models hinges on extensive training data, which can be both laborious and costly to obtain, especially for low-resourced languages. Conventional methods tailored for Latin characters often fal
Externí odkaz:
http://arxiv.org/abs/2410.18277
In this paper, we propose a new framework called YOWOv3, which is an improved version of YOWOv2, designed specifically for the task of Human Action Detection and Recognition. This framework is designed to facilitate extensive experimentation with dif
Externí odkaz:
http://arxiv.org/abs/2408.02623
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6183. 13p.
Power quality disturbances (PQDs) significantly impact the stability and reliability of power systems, necessitating accurate and efficient detection and recognition methods. While numerous classical algorithms for PQDs detection and recognition have
Externí odkaz:
http://arxiv.org/abs/2406.03081
Scene text recognition is essential in many applications, including automated translation, information retrieval, driving assistance, and enhancing accessibility for individuals with visual impairments. Much research has been done to improve the accu
Externí odkaz:
http://arxiv.org/abs/2405.11437
Autor:
Shijie Guo1 1437940802@qq.com, Nannan Zhao2 723306003@qq.com, Xinyu Ouyang2 13392862@qq.com, Yifan Ouyang3 AIT2209084@xmu.edu.my
Publikováno v:
Engineering Letters. Nov2024, Vol. 32 Issue 11, p2180-2190. 11p.
Autor:
Ye, Xuyuan1 (AUTHOR) 202183270265@nuist.edu.cn, Du, Chuan1 (AUTHOR) duchuan@mail.sysu.edu.cn
Publikováno v:
Remote Sensing. Jul2024, Vol. 16 Issue 13, p2471. 26p.