Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions

Ma, Tianhao; Chen, Han; Hu, Juncheng; Zhu, Ye; Li, Ximing

Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions

conference contribution

posted on 2025-09-12, 05:22 authored by Tianhao Ma, Han Chen, Juncheng Hu, Ye ZhuYe Zhu, Ximing Li

Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions

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DOI - Is version of https://doi.org/10.1109/cvpr52734.2025.01917

Location

Nashville, Tennessee

Open access

No

Language

eng

Volume

00

Pagination

20592-20601

Start date

2025-06-10

End date

2025-06-17

ISBN-13

9798331543648

Title of proceedings

CVPR 2025 : Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Event

Computer Vision and Pattern Recognition. Conference (2025 : Nashville, Tennessee)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions

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Open access

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