4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 4 cited
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images
Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix
The human ability to recognize objects is impaired when the object is not shown in full. "Minimal images" are the smallest regions of an image that remain recognizable for humans.…
cs.CV2016★ 1 cited
Herding Generalizes Diverse M -Best Solutions
Ece Ozkan, Gemma Roig, Orcun Goksel +1
We show that the algorithm to extract diverse M -solutions from a Conditional Random Field (called divMbest [1]) takes exactly the form of a Herding procedure [2], i.e. a determini…
cs.CV2014★ 2 cited
Comment on "Ensemble Projection for Semi-supervised Image Classification"
Xavier Boix, Gemma Roig, Luc Van Gool
In a series of papers by Dai and colleagues [1,2], a feature map (or kernel) was introduced for semi- and unsupervised learning. This feature map is build from the output of an ens…