Deep Domain Confusion: Maximizing for Domain Invariance

10 Dec 2014Eric TzengJudy HoffmanNing ZhangKate SaenkoTrevor Darrell

Recent reports suggest that a generic supervised deep CNN model trained on a large-scale dataset reduces, but does not remove, dataset bias on a standard benchmark. Fine-tuning deep models in a new domain can require a significant amount of data, which for many applications is simply not available... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Domain Adaptation Office-Caltech DDC[[Tzeng et al.2014]] Average Accuracy 88.2 # 6

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