Small Object Detection using Prediction head and Attention
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hae Moon | - |
dc.contributor.author | Kim, Ji Hoon | - |
dc.contributor.author | Park, Kyung Ri | - |
dc.contributor.author | Moon, Young Shik | - |
dc.date.accessioned | 2023-05-03T09:33:09Z | - |
dc.date.available | 2023-05-03T09:33:09Z | - |
dc.date.issued | 2022-03 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/112538 | - |
dc.description.abstract | UAV(Unmanned aerial vehicle)-captured image contains a number of small object. Object captured in UAV's low altitude flight are expressed as low resolution in the image and have ambiguous boundaries. The detection problem of small objects expressed in limited pixels in UAV-captured images is difficult. In this paper, we used an additional prediction head to improve the detection performance o small objects, and modified the channel attention module of CBAM and added it to the PANet. The experiment showed that the proposed method showed a 4.1% improvement in| mAP performance compared to the existing method in VisDrone 2020-DET dataset | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE | - |
dc.title | Small Object Detection using Prediction head and Attention | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/ICEIC54506.2022.9748393 | - |
dc.identifier.scopusid | 2-s2.0-85128847017 | - |
dc.identifier.wosid | 000942023400046 | - |
dc.identifier.bibliographicCitation | 2022 International Conference on Electronics, Information, and Communication (ICEIC), pp 1 - 4 | - |
dc.citation.title | 2022 International Conference on Electronics, Information, and Communication (ICEIC) | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 4 | - |
dc.type.docType | Proceedings Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordAuthor | object detection | - |
dc.subject.keywordAuthor | small object detection | - |
dc.subject.keywordAuthor | attention module | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9748393 | - |
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