2024
DOI: 10.1109/access.2024.3375120
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Fast On-Device Learning Framework for Single-Image Super-Resolution

Seok Hee Lee,
Karam Park,
Sunwoo Cho
et al.

Abstract: When implementing a super-resolution (SR) model on an edge device, it is common to train the model on a cloud using pre-determined training images. This is due to the lack of large-scale training data and computation power available on the edge device. However, such frameworks may encounter a domain gap issue because input images to these devices often have different characteristics than those used in training. Therefore, it is essential to continually update the model parameters through on-device learning, wh… Show more

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