Universal Domain Adaptive Object Detector-Reference-Cited by-同舟云学术

Universal Domain Adaptive Object Detector

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Shi Wenxu¹,Zhang Lei¹,Chen Weijie²,Pu Shiliang²

Affiliation:

1. Chongqing University, Chongqing, China

2. Hikvision Research Institute, Hangzhou, China

Funder

National Key R&D Program of China

Chongqing Natural Science Fund

CCF Hikvision Open Fund

CAAI-Huawei MindSpore Open Fund

Beijing Academy of Artificial Intelligence (BAAI)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547937

Reference40 articles.

1. Zhangjie Cao Lijia Ma Mingsheng Long and Jianmin Wang. 2018. Partial adversarial domain adaptation. In ECCV. 135--150. Zhangjie Cao Lijia Ma Mingsheng Long and Jianmin Wang. 2018. Partial adversarial domain adaptation. In ECCV. 135--150.

2. Chaoqi Chen Zebiao Zheng Xinghao Ding Yue Huang and Qi Dou. 2020. Harmonizing transferability and discriminability for adapting object detectors. In CVPR. 8869--8878. Chaoqi Chen Zebiao Zheng Xinghao Ding Yue Huang and Qi Dou. 2020. Harmonizing transferability and discriminability for adapting object detectors. In CVPR. 8869--8878.

3. Yuhua Chen Dengxin Dai Jordi Pont-Tuset and Luc Van Gool. 2016. Scale-aware alignment of hierarchical image segmentation. In CVPR. 364--372. Yuhua Chen Dengxin Dai Jordi Pont-Tuset and Luc Van Gool. 2016. Scale-aware alignment of hierarchical image segmentation. In CVPR. 364--372.

4. Yuhua Chen Wen Li Christos Sakaridis Dengxin Dai and Luc Van Gool. 2018. Domain adaptive faster r-cnn for object detection in the wild. In CVPR. 3339--3348. Yuhua Chen Wen Li Christos Sakaridis Dengxin Dai and Luc Van Gool. 2018. Domain adaptive faster r-cnn for object detection in the wild. In CVPR. 3339--3348.

5. Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth and Bernt Schiele. 2016. The cityscapes dataset for semantic urban scene understanding. In CVPR. 3213--3223. Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth and Bernt Schiele. 2016. The cityscapes dataset for semantic urban scene understanding. In CVPR. 3213--3223.

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