摘要
As the front-end technology of artificial intelligence, computer vision has been widely studied in recent years, and the introduction of deep learning methods has accelerated this process. This paper shows the progress made in object detection in the last 5 years, followed by the mainstream model topology including Convolutional Neural Network and Transformer. We further compared the accuracy and model complexity of different backbones, analyzed the differences and the inner link between Convolutional Neural Network and Transformer, at the end of the thesis, the prospect of future development is presented.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 41st Chinese Control Conference, CCC 2022 |
| 编辑 | Zhijun Li, Jian Sun |
| 出版商 | IEEE Computer Society |
| 页 | 7136-7143 |
| 页数 | 8 |
| ISBN（电子版） | 9789887581536 |
| DOI | |
| 出版状态 | 已出版 - 2022 |
| 活动 | 41st Chinese Control Conference, CCC 2022 - Hefei, 中国 期限: 25 7月 2022 → 27 7月 2022 |
出版系列
| 姓名 | Chinese Control Conference, CCC |
|---|---|
| 卷 | 2022-July |
| ISSN（印刷版） | 1934-1768 |
| ISSN（电子版） | 2161-2927 |
会议
| 会议 | 41st Chinese Control Conference, CCC 2022 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Hefei |
| 时期 | 25/07/22 → 27/07/22 |
指纹
探究 'Review of Object Detection Techniques' 的科研主题。它们共同构成独一无二的指纹。引用此
Yu, B., Jin, F., Dong, L., Gao, M., & Jia, Y. (2022). Review of Object Detection Techniques. 在 Z. Li, & J. Sun (编辑), Proceedings of the 41st Chinese Control Conference, CCC 2022 (页码 7136-7143). (Chinese Control Conference, CCC; 卷 2022-July). IEEE Computer Society. https://doi.org/10.23919/CCC55666.2022.9902668