Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

This paper presents a novel unsupervised domain adaptation method for cross-domain visual recognition. We propose a unified framework that reduces the shift between domains both statistically and geometrically, referred to as Joint Geometrical and Statistical Alignment (JGSA)... (read more)

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Results from the Paper


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Results from Other Papers


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Domain Adaptation Office-Caltech JGSA[[Zhang, Li, and Ogunbona2017]] Average Accuracy 90.0 # 5

Methods used in the Paper


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