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Local inter-session variability modelling for object classification.

K. Anantharajah, Z. Ge, C. McCool, S. Denman, C. Fookes, P. Corke, D. Tjondronegoro, and S. Sridharan. WACV, page 309-316. IEEE Computer Society, (2014)

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Junbo Ge

Wancheng Ge

Naixu Ge

Ge Yang

Mengyao Ge

Other publications of authors with the same name

Flexible Sampling for Long-Tailed Skin Lesion Classification.L. Ju, Y. Wu, L. Wang, Z. Yu, X. Zhao, X. Wang, C. Bonnington, and Z. Ge. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 462-471. Springer, (2022)Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps.J. Tong, D. Mahapatra, C. Bonnington, T. Drummond, and Z. Ge. DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 41-51. Springer, (2020)Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation.L. Yang, D. Mehta, D. Mahapatra, and Z. Ge. MOVI@MICCAI, volume 13578 of Lecture Notes in Computer Science, page 63-72. Springer, (2022)End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers.Z. Yu, V. Mar, A. Eriksson, S. Chandra, C. Bonnington, L. Zhang, and Z. Ge. MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 176-184. Springer, (2021)Medical Matting: A New Perspective on Medical Segmentation with Uncertainty.L. Wang, L. Ju, D. Zhang, X. Wang, W. He, Y. Huang, Z. Yang, X. Yao, X. Zhao, X. Ye and 1 other author(s). MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 573-583. Springer, (2021)Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition.L. Ju, X. Wang, L. Wang, T. Liu, X. Zhao, T. Drummond, D. Mahapatra, and Z. Ge. MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 3-12. Springer, (2021)Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images.D. Mehta, Y. Gal, A. Bowling, C. Bonnington, and Z. Ge. MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 732-742. Springer, (2022)Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks.Z. Ge, A. Bewley, C. McCool, B. Upcroft, P. Corke, and C. Sanderson. CoRR, (2015)Geometry-constrained Car Recognition Using a 3D Perspective Network.R. Zeng, Z. Ge, S. Denman, S. Sridharan, and C. Fookes. CoRR, (2019)Incremental learning for exudate and hemorrhage segmentation on fundus images.W. He, X. Wang, L. Wang, Y. Huang, Z. Yang, X. Yao, X. Zhao, L. Ju, L. Wu, L. Wu and 2 other author(s). Inf. Fusion, (2021)

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Disambiguation of "Ge, ZongYuan"

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Local inter-session variability modelling for object classification.

Please choose a person to relate this publication to

Junbo Ge

Wancheng Ge

Naixu Ge

Ge Yang

Mengyao Ge

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ge, ZongYuan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Local inter-session variability modelling for object classification.

Please choose a person to relate this publication to

Junbo Ge

Wancheng Ge

Naixu Ge

Ge Yang

Mengyao Ge

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Local inter-session variability modelling for object classification.