每年專案
摘要
For deep learning based stitched panoramic image quality assessment, it is costly to train a network model using a large-scale dataset with human annotation. Moreover, it is practical to evaluate image quality without reference images (i.e., Blind Stitched Image Quality Assessment, BSIQA). Selfsupervised learning (SSL) avoids the use of annotated large-scale training dataset while few BSIQA schemes of panoramic stitched images using SSL have been proposed. Thus this paper proposes a SSL aided BSIQA scheme for panoramas. The first training phase learns from a large-scale dataset, where SSL based image colorization is incorporated into supervised learning based classification for learning generalized visual representations. With transferred knowledge from the first phase, the second training phase learns from a small dataset with subjective scores for the task of BSIQA. Test results show that SSL indeed improves prediction accuracy of BSIQA of panoramas on ISIQA dataset.
原文 | ???core.languages.en_GB??? |
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主出版物標題 | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
發行者 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(電子) | 9781665433280 |
DOIs | |
出版狀態 | 已出版 - 2021 |
事件 | 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan 持續時間: 15 9月 2021 → 17 9月 2021 |
出版系列
名字 | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
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???event.eventtypes.event.conference??? | 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
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國家/地區 | Taiwan |
城市 | Penghu |
期間 | 15/09/21 → 17/09/21 |
指紋
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