Pull and concentrate: improving unsupervised semantic segmentation adaptation with cross- and intra-domain consistencies
-
Published:2023-07-19
Issue:5
Volume:29
Page:2633-2650
-
ISSN:0942-4962
-
Container-title:Multimedia Systems
-
language:en
-
Short-container-title:Multimedia Systems
Author:
Zhang Jian-Wei,Sun Yifan,Chen Wei
Funder
National Natural Science Foundation of China Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software
Reference77 articles.
1. Hoffman, J., Wang, D., Yu, F., Darrell, T.: FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. arXiv:1612.02649 (2016) 2. Tsai, Y.-H., Hung, W.-C., Schulter, S., Sohn, K., Yang, M.-H., Chandraker, M.: Learning to Adapt Structured Output Space for Semantic Segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7472–7481 (2018) 3. Hoffman, J., Tzeng, E., Park, T., Zhu, J.-Y., Isola, P., Saenko, K., Efros, A., Darrell, T.: Cycada: Cycle-consistent adversarial domain adaptation. In: International Conference on Machine Learning, pp. 1989–1998 (2018). PMLR 4. Wu, Z., Han, X., Lin, Y.-L., Uzunbas, M.G., Goldstein, T., Lim, S.N., Davis, L.S.: DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation. In: ECCV, pp. 518–534 (2018) 5. Luo, Y., Liu, P., Guan, T., Yu, J., Yang, Y.: Significance-Aware Information Bottleneck for Domain Adaptive Semantic Segmentation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 6778–6787 (2019)
|
|