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Cheng, Zhiming; Liu, Mingxia; Yang, Defu; Zhao, Zhidong; Yan, Chenggang; Wang, Shuai (2025) Domain generalization for image classification with dynamic decision boundary. Pattern Recognition, 166. doi:10.1016/j.patcog.2025.111678

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Reference TypeJournal (article/letter/editorial)
TitleDomain generalization for image classification with dynamic decision boundary
JournalPattern Recognition
AuthorsCheng, ZhimingAuthor
Liu, MingxiaAuthor
Yang, DefuAuthor
Zhao, ZhidongAuthor
Yan, ChenggangAuthor
Wang, ShuaiAuthor
Year2025 (October)Volume166
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2025.111678Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID18310414Long-form Identifiermindat:1:5:18310414:8
GUID0
Full ReferenceCheng, Zhiming; Liu, Mingxia; Yang, Defu; Zhao, Zhidong; Yan, Chenggang; Wang, Shuai (2025) Domain generalization for image classification with dynamic decision boundary. Pattern Recognition, 166. doi:10.1016/j.patcog.2025.111678
Plain TextCheng, Zhiming; Liu, Mingxia; Yang, Defu; Zhao, Zhidong; Yan, Chenggang; Wang, Shuai (2025) Domain generalization for image classification with dynamic decision boundary. Pattern Recognition, 166. doi:10.1016/j.patcog.2025.111678
In(2025) Pattern Recognition Vol. 166. Elsevier BV

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Zhang (2023) IEEE Trans. Image Process. Randomized spectrum transformations for adapting object detector in unseen domains
Not Yet Imported: - journal-article : 10.1609/aaai.v37i2.25332

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: 2023 IEEE/CVF International Conference on Computer Vision (ICCV) - proceedings-article : 10.1109/ICCV51070.2023.00168

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/ICCV51070.2023.01739

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Mummadi (2021)
Not Yet Imported: - proceedings-article : 10.1109/CVPR52688.2022.00816

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
X. Li, Y. Dai, Y. Ge, J. Liu, Y. Shan, L. Duan, Uncertainty Modeling for Out-of-Distribution Generalization, in: International Conference on Learning Representations, 2022.
Not Yet Imported: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - proceedings-article : 10.1109/CVPR52729.2023.02311

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/CVPR52688.2022.00787

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: IEEE Transactions on Image Processing - journal-article : 10.1109/TIP.2023.3263112

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Jin (2024)
Zhou (2021) Domain generalization with MixStyle
Not Yet Imported: Proceedings of the AAAI Conference on Artificial Intelligence - journal-article : 10.1609/aaai.v32i1.11596

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/ICCV51070.2023.01062

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Zhang (2024) IEEE Trans. Pattern Anal. Mach. Intell. Meta invariance defense towards generalizable robustness to unknown adversarial attacks
Not Yet Imported: 2021 IEEE/CVF International Conference on Computer Vision (ICCV) - proceedings-article : 10.1109/ICCV48922.2021.00948

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Rame (2022) Fishr: Invariant gradient variances for out-of-distribution generalization , 18347
Guo (2023) Acm Trans. Multimed. Comput. Commun. Appl. Domain generalization via progressive layer-wise and channel-wise dropout
Not Yet Imported: - proceedings-article : 10.1109/ICCV51070.2023.01751

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
D. Wang, E. Shelhamer, S. Liu, B. Olshausen, T. Darrell, Tent: Fully test-time adaptation by entropy minimization, in: Proceedings of the International Conference on Learning Representations, 2021.
F. Fleuret, et al., Test time adaptation through perturbation robustness, in: NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications, 2021.
Not Yet Imported: - proceedings-article : 10.24963/ijcai.2022/141

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Liu (2021) Adv. Neural Inf. Process. Syst. Ttt++: When does self-supervised test-time training fail or thrive? 34, 21808
Zhang (2023) Adanpc: Exploring non-parametric classifier for test-time adaptation , 41647
Not Yet Imported: - proceedings-article : 10.1109/ICCV.2017.591

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/CVPR.2017.572

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Torralba (2011) Unbiased look at dataset bias , 1521
Not Yet Imported: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - proceedings-article : 10.1109/CVPR46437.2021.00950

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - proceedings-article : 10.1109/CVPR.2019.00233

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/TIP.2021.3112012

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/CVPR52688.2022.00699

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/CVPR46437.2021.01415

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/TCSVT.2022.3152615

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Huang (2020) Self-challenging improves cross-domain generalization , 124
Ganin (2016) J. Mach. Learn. Res. Domain-adversarial training of neural networks 17, 1
Not Yet Imported: - proceedings-article : 10.1109/ICCV51070.2023.00568

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/TAI.2024.3377173

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - proceedings-article : 10.1109/CVPR46437.2021.00533

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Meng (2022) Attention diversification for domain generalization , 322
Not Yet Imported: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - proceedings-article : 10.1109/CVPR46437.2021.00858

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Arjovsky (2019)
Zhang (2023) Efficient attention for domain generalization , 245
Not Yet Imported: - proceedings-article : 10.1109/ICCV51070.2023.01756

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/ICCV48922.2021.00642

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/CVPR52688.2022.00711

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Vedantam (2021) Adv. Neural Inf. Process. Syst. An empirical investigation of domain generalization with empirical risk minimizers 34, 28131
Blanchard (2021) J. Mach. Learn. Res. Domain generalization by marginal transfer learning 22, 1
Pezeshki (2021) Adv. Neural Inf. Process. Syst. Gradient starvation: A learning proclivity in neural networks 34, 1256
Long (2024) IEEE Trans. Circuits Syst. Video Technol. Rethinking domain generalization: Discriminability and generalizability
Yu (2024) IEEE Trans. Image Process. INSURE: an information theory inspired disentanglement and purification model for domain generalization
Schneider (2020) Adv. Neural Inf. Process. Syst. Improving robustness against common corruptions by covariate shift adaptation 33, 11539
Liang (2020) Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation , 6028
Iwasawa (2021) Adv. Neural Inf. Process. Syst. Test-time classifier adjustment module for model-agnostic domain generalization 34, 2427
Niu (2022) Efficient test-time model adaptation without forgetting , 16888
Not Yet Imported: - proceedings-article : 10.1109/CVPR52729.2023.01920

If you would like this item imported into the Digital Library, please contact us quoting Journal ID


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