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26 June 2023 Optimize the application of attention mechanism in complex labels text detection algorithms
Yingning Gao, Weisheng Liu
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Proceedings Volume 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023); 1272117 (2023) https://doi.org/10.1117/12.2683398
Event: 2023 2nd International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2023, Chengdu, China
Abstract
The label is used to mark the object information or classification of the logo, complex label then contains more layout information than ordinary labels. These include Chinese and English characters, pictures, symbols and barcodes. When text detection is performed in complex labels, the detection capability of the algorithm is reduced and is prone to feature overlap resulting in missed and false detection. In this paper, the original YOLOv5 algorithm is optimized by an improved channel attention mechanism to form the new algorithm SA-YOLOv5. The experimental results show that the SA-YOLOv5 model can effectively improve detection efficiency and solve the problem of false and missed detections. The average detection accuracy mAP value is 92.24%, which is 0.68 percentage points higher than the original algorithm, proving the effectiveness of the algorithm.
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Yingning Gao and Weisheng Liu "Optimize the application of attention mechanism in complex labels text detection algorithms", Proc. SPIE 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 1272117 (26 June 2023); https://doi.org/10.1117/12.2683398
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KEYWORDS
Object detection
Detection and tracking algorithms
Mathematical optimization
Feature extraction
Convolution
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