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Comparing the Grad CAM++ visualization of a single attention head model and our proposed DAN on the RAF-DB test set. The first column is obtained with DACL [7], and the rest of the columns are generated by four attention heads from the proposed DAN model. Our method explicitly learns to attend to multiple local image regions for facial expression recognition.
