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Representational similarity analysis for zero-shot learning test when (A) one blurred-image label, (B) eight blurred-image labels, (C) one sharp-image label, or (D) eight sharp-image labels is/are excluded from the training set. Test set was blurred images for (A, B), and sharp images for (C, D). The results suggest the shared representation acquired by blur training can be reused, at least partially, to recognize an unseen object class.
