Towards Generalized UAV Object Detection: A Novel Perspective from Frequency Domain Disentanglement
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11263-024-02108-5.pdf
Reference88 articles.
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2. Cao, S., Joshi, D., Gui, L. Y., & Wang, Y. X. (2023). Contrastive mean teacher for domain adaptive object detectors. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 23839–23848).
3. Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., & Zagoruyko, S. (2020). End-to-end object detection with transformers. In European conference on computer vision (pp. 213–229). Springer.
4. Carlucci, F. M., D’Innocente, A., Bucci, S., Caputo, B., & Tommasi, T. (2019). Domain generalization by solving jigsaw puzzles. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 2229–2238).
5. Chen, C., Li, J., Zhou, H. Y., Han, X., Huang, Y., Ding, X., & Yu, Y. (2022a). Relation matters: Foreground-aware graph-based relational reasoning for domain adaptive object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3), 3677–3694.
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