Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.

S. Li, X. Xia, H. Zhang, Y. Zhan, S. Ge, and T. Liu. NeurIPS, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shikun Zhou

Li Li

Other publications of authors with the same name

Cascaded Correlation Refinement for Robust Deep Tracking.S. Ge, C. Zhang, S. Li, D. Zeng, and D. Tao. IEEE Trans. Neural Networks Learn. Syst., 32 (3): 1276-1288 (2021)M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy.H. Zhang, S. Li, P. Wang, D. Zeng, and S. Ge. AAAI, page 9314-9322. AAAI Press, (2024)VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results.D. Du, Y. Zhang, L. Bo, H. Shi, R. Zhu, B. Han, C. Zhang, G. Liu, H. Wu, H. Wen and 71 other author(s). ICCV Workshops, page 199-212. IEEE, (2019)The Seventh Visual Object Tracking VOT2019 Challenge Results.M. Kristan, A. Berg, L. Zheng, L. Rout, L. Gool, L. Bertinetto, M. Danelljan, M. Dunnhofer, M. Ni, M. Kim and 172 other author(s). ICCV Workshops, page 2206-2241. IEEE, (2019)Coupled Confusion Correction: Learning from Crowds with Sparse Annotations.H. Zhang, S. Li, D. Zeng, C. Yan, and S. Ge. AAAI, page 16732-16740. AAAI Press, (2024)Selective-Supervised Contrastive Learning with Noisy Labels.S. Li, X. Xia, S. Ge, and T. Liu. CVPR, page 316-325. IEEE, (2022)Federated Learning with Label-Masking Distillation.J. Lu, S. Li, K. Bao, P. Wang, Z. Qian, and S. Ge. ACM Multimedia, page 222-232. ACM, (2023)Multimodal Composition Example Mining for Composed Query Image Retrieval.G. Zhang, S. Li, S. Wei, S. Ge, N. Cai, and Y. Zhao. IEEE Trans. Image Process., (2024)Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.S. Li, X. Xia, H. Zhang, Y. Zhan, S. Ge, and T. Liu. NeurIPS, (2022)Coupled-View Deep Classifier Learning from Multiple Noisy Annotators.S. Li, S. Ge, Y. Hua, C. Zhang, H. Wen, T. Liu, and W. Wang. AAAI, page 4667-4674. AAAI Press, (2020)

BibSonomy

Disambiguation of "Li, Shikun"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.

Please choose a person to relate this publication to

Shikun Zhou

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Shikun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.

Please choose a person to relate this publication to

Shikun Zhou

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.