Unveiling of How Image Restoration Contributes to Underwater Object Detection

Autor:	Wen-Yi Peng, Wei-Cheng Lien, Chu-Song Chen, Yan-Tsung Peng
Rok vydání:	2021
Předmět:	Computer science business.industry media_common.quotation_subject Object detection Underwater object detection Visualization Task analysis Quality (business) Computer vision Artificial intelligence Underwater business Image restoration media_common
Zdroj:	ICCE-TW
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9b6558340fc70386e385c008e3602e18 https://doi.org/10.1109/icce-tw52618.2021.9602998 Zobrazit plný text záznamu