水下
图像复原
计算机视觉
人工智能
计算机科学
目标检测
对象(语法)
图像质量
图像(数学)
图像处理
模式识别(心理学)
地理
考古
作者
Wen-Yi Peng,Yan-Tsung Peng,Wei-Cheng Lien,Chu-Song Chen
出处
期刊:International Conference on Consumer Electronics
日期:2021-09-15
被引量:4
标识
DOI:10.1109/icce-tw52618.2021.9602998
摘要
Most underwater image restoration works indicate that restoring images can improve their visual quality and performance of computer vision tasks that use the restored data. This paper aims to investigate how image restoration contributes to underwater object detection. We found that utilizing image restoration through data augmentation rather than using it as a pre-processing step can boost underwater object detection accuracy (up to a 1.9% gain in mAP) on URPC2019 dataset.
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