Author:
Xue Bin,Yi Wanjun,Jing Feng,Wu Shuai
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference51 articles.
1. Anon,, 2018. Cascade RetinaNet: Maintaining consistency for single-stage object detection. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, USA, June, pp. 1–12.
2. Cai, Zhaowei, Vasconcelos, Nuno, 2018. Cascade R-CNN: Delving into high quality object detection. In: 2018 IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, USA, June, pp. 1–9.
3. R-FCN: Object detection via region-based fully convolutional networks;Dai,2016
4. Interpretation and analysis of target scattering from fully-polarized ISAR images using Pauli decomposition scheme for target recognition;Demirci;IEEE Access,2020
5. Duan, Kaiwen, Bai, Song, Xie, Lingxi, et al., 2019. CenterNet: Keypoint triplets for object detection. In: 2019 IEEE International Conference on Computer Vision, Seoul, Korea, South, Oct. pp. 1–10.
Cited by
34 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献