UP-Net: A multi-head architecture for reading and efficiently segmenting distorted QR codes
Semantic segmentation is essential in machine vision but susceptible to noise and distortions that often appear in real-world images. We propose UPlus-Net (UP-Net), a deep-learning architecture based on the U-Net encoder-decoder architecture. We address the limitations of U-Net by intro-ducing a mul...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Electronics and Telecommunications Research Institute (ETRI)
2025-06-01
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| Series: | ETRI Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.4218/etrij.2023-0540 |
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