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해상에서 소형 객체 인식을 위한 데이터 전처리 방안 연구A Study on the Data Pre-processing Method for Recognizing Small Objects in the Sea
- Other Titles
- A Study on the Data Pre-processing Method for Recognizing Small Objects in the Sea
- Issue Date
- 2021
- Publisher
- 한국CDE학회
- Keywords
- Deep learning; Data pre-processing; Object detection; Ocean; Submarine; Submarine mast; Small data
- Citation
- 한국CDE학회 논문집, v.26, no.4, pp 366 - 375
- Pages
- 10
- Indexed
- KCI
- Journal Title
- 한국CDE학회 논문집
- Volume
- 26
- Number
- 4
- Start Page
- 366
- End Page
- 375
- ISSN
- 2508-4003
2508-402X
- Abstract
- 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.
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Collections - 해양과학대학 > 조선해양공학과 > Journal Articles
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