Loose to compact feature alignment for domain adaptive object detection
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference53 articles.
1. Y. Chen, W. Li, C. Sakaridis, D. Dai, L. Van Gool, Domain adaptive faster R-CNN for object detection in the wild, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 3339–3348.
2. K. Saito, Y. Ushiku, T. Harada, K. Saenko, Strong-weak distribution alignment for adaptive object detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 6956–6965.
3. X. Zhu, J. Pang, C. Yang, J. Shi, D. Lin, Adapting object detectors via selective cross-domain alignment, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 687–696.
4. Y. Zheng, D. Huang, S. Liu, Y. Wang, Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020, pp. 13766–13775.
5. Z. Pei, Z. Cao, M. Long, J. Wang, Multi-adversarial domain adaptation, in: Thirty-Second AAAI Conference on Artificial Intelligence, 2018.
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