1. Bodla, N., Singh, B., Chellappa, R., Davis, L.S.: Soft-NMS—improving object detection with one line of code. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 5562–5570 (2017)
2. Cai, Z., Vasconcelos, N.: Cascade r-cnn: High quality object detection and instance segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–1 (2019)
3. Cao, Y., Xu, J., Lin, S., Wei, F., Hu, H.: GCNET: non-local networks meet squeeze-excitation networks and beyond. In: 2019 IEEE International Conference on Computer Vision Workshop (ICCVW), pp. 0–0 (2019)
4. Chen, K., Li, J., Lin, W., See, J., Wang, J., Duan, L., Chen, Z., He, C., Zou, J.: Towards accurate one-stage object detection with ap-loss. In: 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5119–5127 (2019)
5. Chen, K., Wang, J., Pang, J., Cao, Y., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Xu, J., Zhang, Z., Cheng, D., Zhu, C., Cheng, T., Zhao, Q., Li, B., Lu, X., Zhu, R., Wu, Y., Dai, J., Wang, J., Shi, J., Ouyang, W., Loy, C.C., Lin, D.: Mmdetection: open mmlab detection toolbox and benchmark (2019). arXiv:1906.07155