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Empirical Inference Conference Paper 2022

Large Loss Matters in Weakly Supervised Multi-Label Classification

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Empirical Inference
Zeynep Akata
  • Research Scientist

Author(s): Kim*, Y. and Kim*, J. M. and Akata, Z. and Lee, J.
Book Title: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Pages: 14156--14165
Year: 2022
Month: June
Bibtex Type: Conference Paper (conference)
DOI: 10.1109/CVPR52688.2022.01376
Event Name: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
Event Place: New Orleans, Louisiana
State: Published
URL: https://openaccess.thecvf.com/content/CVPR2022/papers/Kim_Large_Loss_Matters_in_Weakly_Supervised_Multi-Label_Classification_CVPR_2022_paper.pdf
Electronic Archiving: grant_archive
Note: *equal contribution
Supplement: https://openaccess.thecvf.com/content/CVPR2022/supplemental/Kim_Large_Loss_Matters_CVPR_2022_supplemental.pdf
Links:

BibTex 

@conference{KimKimAkaLee22,
  title = {Large Loss Matters in Weakly Supervised Multi-Label Classification},
  booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {14156--14165},
  month = jun,
  year = {2022},
  note = {*equal contribution},
  slug = {kimkimakalee22},
  author = {Kim*, Y. and Kim*, J. M. and Akata, Z. and Lee, J.},
  url = {https://openaccess.thecvf.com/content/CVPR2022/papers/Kim_Large_Loss_Matters_in_Weakly_Supervised_Multi-Label_Classification_CVPR_2022_paper.pdf},
  month_numeric = {6}
}