Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Saqib Bukhari"'
Publikováno v:
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87cd475df2aa2dc97c86710c3d2a2e5e
https://doi.org/10.5220/0011651000003411
https://doi.org/10.5220/0011651000003411
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Development in the field of Single Board Computers (SBC) have been increasing for several years. They provide a good balance between computing performance and power consumption which is usually required for mobile platforms, like application in vehic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4724ea4122f6d6f710106f4834206e47
https://doi.org/10.1109/iccvw54120.2021.00113
https://doi.org/10.1109/iccvw54120.2021.00113
Multitask learning is a common approach in machine learning, which allows to train multiple objectives with a shared architecture. It has been shown that by training multiple tasks together inference time and compute resources can be saved, while the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cff619d7a17f145f1c108861a0261854
Publikováno v:
IET Image Processing. 11:1325-1332
We introduce an edge detection and recovery framework based on open active contour models (snakelets). This is motivated by the noisy or broken edges output by standard edge detection algorithms, like Canny. The idea is to utilize the local continuit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cffec2c2b556f75c84accc55b8800f0c
https://doi.org/10.1049/iet-ipr.2017.0336
https://doi.org/10.1049/iet-ipr.2017.0336
Publikováno v:
HIP@ICDAR
In this paper, we classify semantic zone in a document image and observe how a balanced training influences the classification performance. Unlike holistic document which normally distinguishes in content and structural layout, semantic zone introduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::947947ace2c41e38d6ac64df393d5dd1
https://doi.org/10.1145/3352631.3352639
https://doi.org/10.1145/3352631.3352639
Publikováno v:
ICDAR
In this era of advanced technology and automation, information extraction has become a very common practice for the analysis of data. A technique known as Optical Character Recognition (OCR) is used for recognition of text. The purpose is to extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00f169c1fbc11fa4dcd88ec8368909c3
https://doi.org/10.1109/icdar.2019.00-41
https://doi.org/10.1109/icdar.2019.00-41
Publikováno v:
ICDAR
Optical Character Recognition (OCR) has achieved its state-of-the-art performance with the use of Deep Learning for character recognition. Deep Learning techniques need large amount of data along with ground truth. Out of the available data, small po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30058f717e84a151e057a67ed06970fc
https://doi.org/10.1109/icdar.2019.00-42
https://doi.org/10.1109/icdar.2019.00-42
Publikováno v:
GREC@ICDAR
Piping and Instrumentation Diagrams (P&IDs) are graph-based engineering drawings utilised in process engineering. These documents also contain additional information in tabular form. In this paper, the localisation and extraction of information of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a339e9aa00b288431808265fcab0eee4
https://doi.org/10.1109/icdarw.2019.00010
https://doi.org/10.1109/icdarw.2019.00010
Publikováno v:
ICDAR
In the context of historical documents, where labeled training data is especially expensive to acquire, the prospect of using unlabeled training data to improve and speed up the overall training is desirable. The most common way to use unlabeled data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882141222604217587e8f4fda4c8575a
https://doi.org/10.1109/icdar.2019.00202
https://doi.org/10.1109/icdar.2019.00202
Autor:
Khurram Azeem Hashmi, Andreas Dengel, Rakshith Bymana Ponnappa, Martin Jenckel, Syed Saqib Bukhari
Publikováno v:
WML@ICDAR
In recent years, with the increasing usage of digital media and advancements in deep learning architectures, most of the paper-based documents have been revolutionized into digital versions. These advancements have helped state-of-the-art information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf29e89be78a2db28ff86dbd037ad694
https://doi.org/10.1109/icdarw.2019.40091
https://doi.org/10.1109/icdarw.2019.40091