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EMMCVPR
2011
Springer
13 years 9 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 2 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 1 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 3 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