Emphasis of the VISUAL Model In order to delve deeper into what the VISUAL model has learned, we measure a modified version of the occlusion sensitivity proposed by Zeiler and Fergus (2014) by masking the original character image in four ways, and examine the importance of each part of the character to the model's calculated representations.
we leave only the upper half, bottom half, left half, or right half of the image, and mask the remainder with white pixels since Chinese characters are usually formed by combining two radicals vertically or horizontally.