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David Berga

2 accepted papers

2020

MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images

CVPR 2020poster

One of the attractive characteristics of deep neural networks is their ability to transfer knowledge obtained in one domain to other related domains. As a result, high-quality networks can be trained in domains with relatively little training data. This property has been extensively studied for disc…

Cited by 229PDFcodeScholar
2019

SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling

ICCV 2019poster

A benchmark of saliency models performance with a synthetic image dataset is provided. Model performance is evaluated through saliency metrics as well as the influence of model inspiration and consistency with human psychophysics. SID4VAM is composed of 230 synthetic images, with known salient regio…

Cited by 14PDFcodeScholar