Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

15 Oct 2015Muhammad GhifaryDavid BalduzziW. Bastiaan KleijnMengjie Zhang

This paper addresses classification tasks on a particular target domain in which labeled training data are only available from source domains different from (but related to) the target. Two closely related frameworks, domain adaptation and domain generalization, are concerned with such tasks, where the only difference between those frameworks is the availability of the unlabeled target data: domain adaptation can leverage unlabeled target information, while domain generalization cannot... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Domain Adaptation Office-Caltech SCA[[Ghifary et al.2016]] Average Accuracy 85.9 # 7

Methods used in the Paper


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