Learning with Side Information through Modality Hallucination

Abstract

We present a modality hallucination architecture for training an RGB object detection model which incorporates depth side information at training time. Our convolutional hallucination network learns a new and complementary RGB image representation which is taught to mimic convolutional mid-level features from a depth network. At test time images are… (More)
DOI: 10.1109/CVPR.2016.96

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05010020162017
Citations per Year

Citation Velocity: 38

Averaging 38 citations per year over the last 2 years.

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