Efficient Image Super-Resolution Using Dynamic Quality Control With Recursive Model Structures
Nowadays, as the demand for accurate object detection (OD) applications is increasing, several attempts have been made to introduce convolutional neural network (CNN)-based super-resolution (SR) into these applications to further improve their target accuracy. OD systems require real-time processing...
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| Main Authors: | Inho Lee, Jaemin Park, Seunghwan Lee, Tae Hyun Kim, Jiwon Seo, Hunjun Lee, Yongjun Park |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11048939/ |
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