Visual Domain Adaptation with Manifold Embedded Distribution Alignment

19 Jul 2018Jindong WangWenjie FengYiqiang ChenHan YuMeiyu HuangPhilip S. Yu

Visual domain adaptation aims to learn robust classifiers for the target domain by leveraging knowledge from a source domain. Existing methods either attempt to align the cross-domain distributions, or perform manifold subspace learning... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Domain Adaptation Office-Caltech MEDA[[Wang et al.2018]] Average Accuracy 92.8 # 2