http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
해상에서 소형 객체 인식을 위한 데이터 전처리 방안 연구
김기관(Gi-Gwan Kim),노천명(Chun-Myoung Noh),이수봉(Su-Bong Lee),이순섭(Soon-Sup Lee),이재철(Jae-Chul Lee) (사)한국CDE학회 2021 한국CDE학회 논문집 Vol.26 No.4
Implementing good performance deep learning requires a large amount of high-quality data. However, in areas where the amount of data is limited, data collection takes a lot of time and cost. This study attempts to detect small object-sized submarine masts based on the environmental characteristics of the sea, which limit data collection and reduce the amount and quality of data due to the characteristics of submarine data used in the study. This study aims to improve recognition performance through preprocessing techniques with a small amount of data, and it can be seen that recognition performance has improved based on mAP.