English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. View item / 
  2. Item Summary

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation

MPS-Authors
/persons/resource/persons249705

Feng,  Haiwen
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons217595

Bolkart,  Timo
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84254

Tesch,  Joachim
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons75293

Black,  Michael J.       
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons289140

Abrevaya,  Victoria
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://doi.org/10.1007/978-3-031-19778-9_5
(Publisher version)

https://doi.org/10.48550/arXiv.2205.03962
(Preprint)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Feng, H., Bolkart, T., Tesch, J., Black, M. J., & Abrevaya, V. (2022). Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022 (pp. 72-90). Cham: Springer. doi:10.1007/978-3-031-19778-9_5.


Cite as: https://hdl.handle.net/21.11116/0000-000D-416F-E
Abstract
There is no abstract available