| dc.contributor.author | Tang, Yi | ru |
| dc.contributor.author | Zhao, Di | ru |
| dc.coverage.spatial | Минск | ru |
| dc.date.accessioned | 2023-01-26T06:05:38Z | |
| dc.date.available | 2023-01-26T06:05:38Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Tang, Yi. Real-time object detection based on CNN / Yi Tang, Di Zhao // Новые горизонты - 2022 : сборник материалов IX Белорусско-Китайского молодежного инновационного форума, 10-11 ноября 2022 года / Белорусский национальный технический университет. – Минск : БНТУ, 2022. – Т. 2. – С. 264-265. | ru |
| dc.identifier.uri | https://rep.bntu.by/handle/data/125646 | |
| dc.description.abstract | Computer vision, also known as CV, which can gain high-level understanding from digital images or videos. The real-time object detection has been used in many fields, such as people counting, unmanned supermarket, photo focus in cameras and so on. This paper introduces the difficulties in real-time object detection and developments and applications in China. | ru |
| dc.language.iso | en | ru |
| dc.publisher | БНТУ | ru |
| dc.title | Real-time object detection based on CNN | ru |
| dc.type | Working Paper | ru |
