Funder
National Natural Science Foundation of China
Hebei Provincial Natural Science Foundation
China Scholarship Council
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference50 articles.
1. Bhattacharjee, D., Zhang, T., Süsstrunk, S., & Salzmann, M. (2022). Mult: An end-to-end multitask learning transformer. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 12031–12041).
2. Bodla, N., Singh, B., Chellappa, R., & Davis, L. S. (2017). Soft-NMS–improving object detection with one line of code. In Proceedings of the IEEE international conference on computer vision (pp. 5561–5569).
3. Hydra attention: Efficient attention with many heads;Bolya,2022
4. Taking a look at small-scale pedestrians and occluded pedestrians;Cao;IEEE Transactions on Image Processing,2019
5. End-to-end object detection with transformers;Carion,2020