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Understanding Perceptual and Conceptual Fluency at a Large Scale

ECCV 2018 • Shengli Hu • Ali Borji

We create a dataset of 543,758 logo designs spanning 39 industrial categories and 216 countries. We experiment and compare how different deep convolutional neural network (hereafter, DCNN) architectures, pretraining protocols, and weight initializations perform in predicting design memorability and likability... (read more)

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ImageNet

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METHOD TYPE
Causal Inference
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