Results 11 to 20 of about 8,202,971 (220)
Arbitrary-Oriented Scene Text Detection via Rotation Proposals [PDF]
IEEE transactions on multimedia, 2017 This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks, which are designed to generate inclined proposals with text orientation angle ...
Jianqi Ma +6 more
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Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Recently, segmentation-based scene text detection methods have drawn extensive attention in the scene text detection field, because of their superiority in detecting the text instances of arbitrary shapes and extreme aspect ratios, profiting from the ...
Minghui Liao +4 more
semanticscholar +1 more source
RADAR: Robust AI-Text Detection via Adversarial Learning [PDF]
Neural Information Processing Systems, 2023 Recent advances in large language models (LLMs) and the intensifying popularity of ChatGPT-like applications have blurred the boundary of high-quality text generation between humans and machines.
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
semanticscholar +1 more source
Fourier Contour Embedding for Arbitrary-Shaped Text Detection [PDF]
Computer Vision and Pattern Recognition, 2021 One of the main challenges for arbitrary-shaped text detection is to design a good text instance representation that allows networks to learn diverse text geometry variances. Most of existing methods model text instances in image spatial domain via masks
Yiqin Zhu +5 more
semanticscholar +1 more source
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition [PDF]
Computer Vision and Pattern Recognition, 2022 End-to-end scene text spotting has attracted great attention in recent years due to the success of excavating the intrinsic synergy of the scene text detection and recognition.
Mingxin Huang +8 more
semanticscholar +1 more source
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Large language models (LLMs) have demonstrated remarkable capability to generate fluent responses to a wide variety of user queries. However, this has also raised concerns about the potential misuse of such texts in journalism, education, and academia ...
Yuxia Wang +10 more
semanticscholar +1 more source
Zhejiang dianli, 2023 Image text recognition and deep learning technology are gradually applied in the field of engineering drawing recognition. The electrical secondary drawing takes the terminal block drawing as an example， which has problems such as small target detection ...
CHU Xueru +5 more
doaj +1 more source
MAGE: Machine-generated Text Detection in the Wild [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Large language models (LLMs) have achieved human-level text generation, emphasizing the need for effective AI-generated text detection to mitigate risks like the spread of fake news and plagiarism.
Yafu Li +8 more
semanticscholar +1 more source
A Review of Recent Advances and Challenges in Grocery Label Detection and Recognition
Applied Sciences, 2023 When compared with traditional local shops where the customer has a personalised service, in large retail departments, the client has to make his purchase decisions independently, mostly supported by the information available in the package. Additionally,
Vânia Guimarães +3 more
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A Neural Network Model for Text Detection in Chinese Drug Package Insert
IEEE Access, 2021 The text information in the medical photocopies is of great significance to the construction of medical digital platform. Text region detection, the very first step of extracting medical photocopies information, is functional to detect text area or ...
Haiwen Wu, Ri-Gui Zhou, Yaochong Li
doaj +1 more source