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국방 경계감시 능력 증강을 위한 AI 허브 데이터셋 활용 연구
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- Issue Date
- 2023-06
- Citation
- 대한전자공학회 학술 대회 (하계) 2023, pp.1140-1143
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- As the number of cases in which deep learning is applied to real life increases, there is a movement to utilize deep learning technology in the defense surveillance field as well. In order to apply deep learning technology, a certain level of learning data is required, and learning data are being collected for this purpose. However, the number of learning data for targets with low vigilant surveillance appearance, such as aircraft and drones, is insufficient. In this paper, we would like to discuss how to utilize AI hub data to solve this problem. Through experiments, it was confirmed that performance improvement may not occur even if unrefined training data is added. In the future, we plan to study ways to collect additional data that is meaningful for deep model learning.
- KSP Keywords
- Deep model, Learning Technology, Learning data, Model learning, To discuss, deep learning(DL), performance improvement, training data