Hierarchical Adaptive Structural SVM for Domain Adaptation

22 Aug 2014Jiaolong XuSebastian RamosDavid VazquezAntonio M. Lopez

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 being recognized as a very relevant problem for many computer vision tasks such as image classification, object detection, and object category recognition... (read more)

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