The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multiclass recognition and part localization with humans in the loop
Abstract
We propose a visual recognition system that is designed for fine-grained visual categorization. The system is composed of a machine and a human user. The user, who is unable to carry out the recognition task by himself, is interactively asked to provide two heterogeneous forms of information: clicking on object parts and answering binary questions. The machine intelligently selects the most informative question to pose to the user in order to identify the object's class as quickly as possible. By leveraging computer vision and analyzing the user responses, the overall amount of human effort required, measured in seconds, is minimized. We demonstrate promising results on a challenging dataset of uncropped images, achieving a significant average reduction in human effort over previous methods.
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Cites
Automated Flower Classification over a Large Number of Classes
Nilsback, M.-E., & Zisserman, A. (2008) · 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing · doi:10.1109/icvgip.2008.47 · Cited by 3,442
Describing objects by their attributes
Farhadi, A., Endres, I., Hoiem, D., & Forsyth, D. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206772 · Cited by 1,917
Cited by
We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification
Papadopoulos, D. P., Uijlings, J. R. R., Keller, F., & Ferrari, V. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.99 · Cited by 21
Metadata
- Authors
- Wah, C., Branson, S., Perona, P., & Belongie, S.
- Venue
- 2011 International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2011-11
- Pages
- 2524-2531
- OpenAlex
- W2152411181
- Cited by
- 177
- References
- 2
- FWCI
- 10.04
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wah, C., Branson, S., Perona, P., & Belongie, S. (2011). Multiclass recognition and part localization with humans in the loop. 2011 International Conference on Computer Vision. https://doi.org/10.1109/iccv.2011.6126539
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