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EMMCVPR
2011
Springer
14 years 4 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
ICCVW
1999
Springer
15 years 8 months ago
Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency
A new approach to characterizing the performance of point-correspondencealgorithmsis presented. Instead of relyingon any \ground truth', it uses the self-consistency of the o...
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua
CVPR
2006
IEEE
15 years 8 months ago
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
Bryan C. Russell, William T. Freeman, Alexei A. Ef...
ICIAP
2007
ACM
15 years 10 months ago
A new and reliable Poisson noise estimator for radiographic images
Digital images in general, and radiographies in particular, are mainly affected by photon counting noise. In this paper, we provide a method to estimate the gain of the imaging se...
Iuri Frosio, Mirko Lucchese, N. Alberto Borghese