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Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

Y. Li, X. Wang, L. Yang, L. Feng, W. Zhang, and Y. Gao. ICCV, page 16009-16021. IEEE, (2023)

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Wayne Coppins

Wayne Daley

Wayne Schmidt

Wayne Clements

Gary Wayne Anderson

Other publications of authors with the same name

Recovery of Future Data via Convolution Nuclear Norm Minimization.G. Liu, and W. Zhang. IEEE Trans. Inf. Theory, 69 (1): 650-665 (2023)WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection.S. Fang, Y. Cao, X. Wang, K. Chen, D. Lin, and W. Zhang. CoRR, (2021)Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation.Y. Li, Y. Duan, Z. Kuang, Y. Chen, W. Zhang, and X. Li. CoRR, (2021)Consistent Targets Provide Better Supervision in Semi-supervised Object Detection.X. Wang, X. Yang, S. Zhang, Y. Li, L. Feng, S. Fang, C. Lyu, K. Chen, and W. Zhang. CoRR, (2022)Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation.Y. Li, Y. Duan, Z. Kuang, Y. Chen, W. Zhang, and X. Li. AAAI, page 1447-1455. AAAI Press, (2022)OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.J. Yang, P. Wang, D. Zou, Z. Zhou, K. Ding, W. Peng, H. Wang, G. Chen, B. Li, Y. Sun and 6 other author(s). NeurIPS, (2022)Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection.X. Wang, X. Yang, S. Zhang, Y. Li, L. Feng, S. Fang, C. Lyu, K. Chen, and W. Zhang. CVPR, page 3240-3249. IEEE, (2023)Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph.J. Yang, W. Chen, L. Feng, X. Yan, H. Zheng, and W. Zhang. ACM Multimedia, page 83-91. ACM, (2020)MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding.Z. Kuang, H. Sun, Z. Li, X. Yue, T. Lin, J. Chen, H. Wei, Y. Zhu, T. Gao, W. Zhang and 3 other author(s). ACM Multimedia, page 3791-3794. ACM, (2021)Vision Transformer with Progressive Sampling.X. Yue, S. Sun, Z. Kuang, M. Wei, P. Torr, W. Zhang, and D. Lin. ICCV, page 377-386. IEEE, (2021)

BibSonomy

Disambiguation of "Zhang, Wayne"

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Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

Please choose a person to relate this publication to

Wayne Coppins

Wayne Daley

Wayne Schmidt

Wayne Clements

Gary Wayne Anderson

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Wayne"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

Please choose a person to relate this publication to

Wayne Coppins

Wayne Daley

Wayne Schmidt

Wayne Clements

Gary Wayne Anderson

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

Diverse Cotraining Makes Strong Semi-Supervised Segmentor.