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Color object recognition via cross-domain learning on RGB-D images

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Figure

Fig. 1: Illustration of the cross-domain object recognition problem. Through jointly training with both RGB and depth image features, we aim to recognize images in the target RGB domain with the help of the source domain depth images
Fig. 3: 32 example images with high accuracy results from Caltech-256 dataset.
TABLE I.  WPERFORMANCE COMPARISON OF BASELINE APPROACHES ITHOUT DOMAIN ADAPTION ON CALTECH-256 DATASET WHILE TRAINING ON RGB-D OBJECT DATASET

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