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A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction.

W. Shen, Z. Peng, X. Wang, H. Wang, J. Cen, D. Jiang, L. Xie, X. Yang, and Q. Tian. IEEE Trans. Pattern Anal. Mach. Intell., 45 (8): 9284-9305 (August 2023)

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Zelin Li

Bronislaw Zelingier

Susanne Zelinski

Agnes Gabriele Zelinka

Viktor Zelinger

Other publications of authors with the same name

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation.Z. Peng, G. Wang, L. Xie, D. Jiang, W. Shen, and Q. Tian. ICCV, page 624-634. IEEE, (2023)News Recommendation Model Based on Improved Label Propagation Algorithm.Z. Peng, R. Lin, Y. He, L. Wang, H. Chu, C. Fu, and Y. Tang. HCC, volume 11956 of Lecture Notes in Computer Science, page 315-324. Springer, (2019)A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction.W. Shen, Z. Peng, X. Wang, H. Wang, J. Cen, D. Jiang, L. Xie, X. Yang, and Q. Tian. CoRR, (2022)Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information.G. Wang, X. Zhang, Z. Peng, X. Tang, H. Zhou, and L. Jiao. IJCAI, page 1378-1384. ijcai.org, (2022)Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model.Z. Peng, Z. Xu, Z. Zeng, L. Xie, Q. Tian, and W. Shen. CoRR, (2023)A Learnable Blur Kernel for Remote Sensing Image Retrieval.Z. Peng, G. Wang, X. Zhang, X. Tang, L. Gao, and L. Jiao. IGARSS, page 1937-1940. IEEE, (2020)Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation.X. Zhang, Z. Peng, P. Zhu, T. Zhang, C. Li, H. Zhou, and L. Jiao. ACM Multimedia, page 5463-5472. ACM, (2021)S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification.G. Wang, X. Zhang, Z. Peng, T. Zhang, X. Jia, and L. Jiao. CoRR, (2024)LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation.Z. Xu, Y. Zhang, C. Ma, Y. Yan, Z. Peng, S. Xie, S. Wu, and X. Yang. AAAI, page 16228-16236. AAAI Press, (2024)Re-Unet: Multi-Modality Cell Segmentation based on nnU-Net Pipeline.H. Lu, J. Feng, Z. Peng, and W. Shen. Cell Segmentation Challenge @ NeurIPS, volume 212 of Proceedings of Machine Learning Research, page 1-9. PMLR, (2022)

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Disambiguation of "Peng, Zelin"

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A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction.

Please choose a person to relate this publication to

Zelin Li

Bronislaw Zelingier

Susanne Zelinski

Agnes Gabriele Zelinka

Viktor Zelinger

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Zelin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction.

Please choose a person to relate this publication to

Zelin Li

Bronislaw Zelingier

Susanne Zelinski

Agnes Gabriele Zelinka

Viktor Zelinger

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
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APA
Chicago
DIN 1505
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MSOffice XML

A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction.