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4 papers · 1 filter
Detect2Rank : Combining Object Detectors Using Learning to Rank
Sezer Karaoglu, Yang Liu, Theo Gevers
Object detection is an important research area in the field of computer vision. Many detection algorithms have been proposed. However, each object detector relies on specific assum…
FitNets: Hints for Thin Deep Nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou +3
While depth tends to improve network performances, it also makes gradient-based training more difficult since deeper networks tend to be more non-linear. The recently proposed know…
Hierarchical Adaptive Structural SVM for Domain Adaptation
Jiaolong Xu, Sebastian Ramos, David Vazquez +1
A key topic in classification is the accuracy loss produced when the data distribution in the training (source) domain differs from that in the testing (target) domain. This is bei…
A Fast Hierarchical Method for Multi-script and Arbitrary Oriented Scene Text Extraction
Lluis Gomez, Dimosthenis Karatzas
Typography and layout lead to the hierarchical organisation of text in words, text lines, paragraphs. This inherent structure is a key property of text in any script and language,…