Results 31 to 40 of about 4,188,442 (307)

Re-Ranking System with BERT for Biomedical Concept Normalization

open access: yesIEEE Access, 2021
In recent years, various neural network architectures have been successfully applied to natural language processing (NLP) tasks such as named entity normalization.
Hyejin Cho, Dongha Choi, Hyunju Lee
doaj   +1 more source

PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition [PDF]

open access: yesACM Multimedia, 2021
Nowadays, scene text recognition has attracted more and more attention due to its various applications. Most state-of-the-art methods adopt an encoder-decoder framework with attention mechanism, which generates text autoregressively from left to right ...
Zhi Qiao   +7 more
semanticscholar   +1 more source

Joint Subtitle Extraction and Frame Inpainting for Videos with Burned-In Subtitles

open access: yesInformation, 2021
Subtitles are crucial for video content understanding. However, a large amount of videos have only burned-in, hardcoded subtitles that prevent video re-editing, translation, etc.
Haoran Xu   +5 more
doaj   +1 more source

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis [PDF]

open access: yesIEEE International Conference on Computer Vision, 2019
Many new proposals for scene text recognition (STR) models have been introduced in recent years. While each claim to have pushed the boundary of the technology, a holistic and fair comparison has been largely missing in the field due to the inconsistent ...
Jeonghun Baek   +7 more
semanticscholar   +1 more source

Kannada Text Recognition

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: The task of automatic handwriting recognition is critical. This can be a difficult subject, and it has gotten a lot of attention in recent years. In the realm of picture grouping, handwritten character recognition is a problem. Handwritten characters are difficult to decipher since various people have distinct handwriting styles. For decades,
Anjali Yogesh Devaraj   +3 more
openaire   +1 more source

Automatic Georeferencing of Topographic Raster Maps

open access: yesISPRS International Journal of Geo-Information, 2022
In recent years, many scientific institutions have digitized their collections, which often include a large variety of topographic raster maps. These raster maps provide accurate (historical) geographical information but cannot be integrated directly ...
Kenzo Milleville   +2 more
doaj   +1 more source

An Intelligent Manufacturing Approach Based on a Novel Deep Learning Method for Automatic Machine and Working Status Recognition

open access: yesApplied Sciences, 2022
Smart manufacturing uses robots and artificial intelligence techniques to minimize human interventions in manufacturing activities. Inspection of the machine’ working status is critical in manufacturing processes, ensuring that machines work correctly ...
Feiyu Jia   +3 more
doaj   +1 more source

An Effective Method for Detection and Recognition of Uyghur Texts in Images with Backgrounds

open access: yesInformation, 2022
Uyghur text detection and recognition in images with simple backgrounds is still a challenging task for Uyghur image content analysis. In this paper, we propose a new effective Uyghur text detection method based on channel-enhanced MSERs and the CNN ...
Mayire Ibrayim   +2 more
doaj   +1 more source

Handwritten Text Recognition for Bengali [PDF]

open access: yes2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016
This work has been partially supported through the European Union’s H2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943) and partially supported by MINECO/FEDER, UE under project TIN2015-70924-C2-1-R.
Sanchez, Joan Andreu, Pal, Umapada
openaire   +3 more sources

Context-Based Contrastive Learning for Scene Text Recognition

open access: yesAAAI Conference on Artificial Intelligence, 2022
Pursuing accurate and robust recognizers has been a long-lasting goal for scene text recognition (STR) researchers. Recently, attention-based methods have demonstrated their effectiveness and achieved impressive results on public benchmarks.
Xinyun Zhang   +5 more
semanticscholar   +1 more source

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