Results 31 to 40 of about 8,202,971 (220)

Towards End-to-End Unified Scene Text Detection and Layout Analysis [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Scene text detection and document layout analysis have long been treated as two separate tasks in different image domains. In this paper, we bring them together and introduce the task of unified scene text detection and layout analysis.
Shangbang Long   +5 more
semanticscholar   +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

Character Region Awareness for Text Detection [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
Scene text detection methods based on neural networks have emerged recently and have shown promising results. Previous methods trained with rigid word-level bounding boxes exhibit limitations in representing the text region in an arbitrary shape. In this
Youngmin Baek   +4 more
semanticscholar   +1 more source

LLMDet: A Third Party Large Language Models Generated Text Detection Tool [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
Generated texts from large language models (LLMs) are remarkably close to high-quality human-authored text, raising concerns about their potential misuse in spreading false information and academic misconduct.
Kangxi Wu   +4 more
semanticscholar   +1 more source

A Straightforward and Efficient Instance-Aware Curved Text Detector

open access: yesSensors, 2021
A challenging aspect of scene text detection is to handle curved texts. In order to avoid the tedious manual annotations for training curve text detector, and to overcome the limitation of regression-based text detectors to irregular text, we introduce ...
Fan Zhao   +3 more
doaj   +1 more source

Detecting Word Substitutions in Text [PDF]

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2008
Searching for words on a watchlist is one way in which large-scale surveillance of communication can be done, for example in intelligence and counterterrorism settings. One obvious defense is to replace words that might attract attention to a message with other, more innocuous, words.
Fong, SeWong   +2 more
openaire   +2 more sources

Real-time Scene Text Detection with Differentiable Binarization [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2019
Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.
Minghui Liao   +4 more
semanticscholar   +1 more source

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection [PDF]

open access: yesInternational Joint Conference on Natural Language Processing, 2023
Large language models (LLMs) are increasingly being used for generating text in a variety of use cases, including journalistic news articles. Given the potential malicious nature in which these LLMs can be used to generate disinformation at scale, it is ...
Amrita Bhattacharjee   +3 more
semanticscholar   +1 more source

ICDAR 2023 Competition on Hierarchical Text Detection and Recognition [PDF]

open access: yesIEEE International Conference on Document Analysis and Recognition, 2023
We organize a competition on hierarchical text detection and recognition. The competition is aimed to promote research into deep learning models and systems that can jointly perform text detection and recognition and geometric layout analysis. We present
Shangbang Long   +5 more
semanticscholar   +1 more source

Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Recently, transformer-based methods have achieved promising progresses in object detection, as they can eliminate the post-processes like NMS and enrich the deep representations.
J. Tang   +6 more
semanticscholar   +1 more source

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