MR-FPN: Multi-Level Residual Feature Pyramid Text Detection Network Based on Self-Attention Environment [PDF]
Sensors, 2022 With humanity entering the age of intelligence, text detection technology has been gradually applied in the industry. However, text detection in a complex background is still a challenging problem for researchers to overcome.
Jianjun Kang +2 more
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The ChatGPT conundrum: Human-generated scientific manuscripts misidentified as AI creations by AI text detection tool. [PDF]
J Pathol Inform, 2023 AI Chat Bots such as ChatGPT are revolutionizing our AI capabilities, especially in text generation, to help expedite many tasks, but they introduce new dilemmas.
Rashidi HH +4 more
europepmc +2 more sources
Scene Text Detection Based on Two-Branch Feature Extraction [PDF]
Sensors, 2022 Scene text detection refers to locating text regions in a scene image and marking them out with text boxes. With the rapid development of the mobile Internet and the increasing popularity of mobile terminal devices such as smartphones, the research on ...
Mayire Ibrayim, Yuan Li, Askar Hamdulla
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Irregular Scene Text Detection Based on a Graph Convolutional Network [PDF]
Sensors, 2023 Detecting irregular or arbitrary shape text in natural scene images is a challenging task that has recently attracted considerable attention from research communities.
Shiyu Zhang +5 more
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A Robust Method: Arbitrary Shape Text Detection Combining Semantic and Position Information [PDF]
Sensors, 2022 There is a growing interest in scene text detection for arbitrary shapes. The effectiveness of text detection has also evolved from horizontal text detection to the ability to perform text detection in multiple directions and arbitrary shapes.
Zhenchao Wang +3 more
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SEMPANet: A Modified Path Aggregation Network with Squeeze-Excitation for Scene Text Detection [PDF]
Sensors, 2021 Recently, various object detection frameworks have been applied to text detection tasks and have achieved good performance in the final detection. With the further expansion of text detection application scenarios, the research value of text detection ...
Shuangshuang Li, Wenming Cao
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Arbitrary-Shaped Text Detection With Adaptive Text Region Representation [PDF]
IEEE Access, 2020 Text detection/localization, as an important task in computer vision, has witnessed substantial advancements in methodology and performance with convolutional neural networks. However, the vast majority of popular methods use rectangles or quadrangles to
Xiufeng Jiang +3 more
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HubNet: An E2E Model for Wheel Hub Text Detection and Recognition Using Global and Local Features [PDF]
SensorsAutomatic detection and recognition of wheel hub text, which can boost the efficiency and accuracy of product information recording, are undermined by the obscurity and orientation variability of text on wheel hubs.
Yue Zeng, Cai Meng
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A Multi-Scale Natural Scene Text Detection Method Based on Attention Feature Extraction and Cascade Feature Fusion [PDF]
SensorsScene text detection is an important research field in computer vision, playing a crucial role in various application scenarios. However, existing scene text detection methods often fail to achieve satisfactory results when faced with text instances of ...
Nianfeng Li +5 more
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DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature [PDF]
International Conference on Machine Learning, 2023 The increasing fluency and widespread usage of large language models (LLMs) highlight the desirability of corresponding tools aiding detection of LLM-generated text.
E. Mitchell +4 more
semanticscholar +1 more source