Bottom-Up Attention Guidance for Recurrent Image Recognition
ICIP, pp. 3004-3008, 2018.
This paper presents a recurrent neural network architecture, guided by the bottom-up attention, for the recognition task. The proposed architecture processes an input image as a sequence of selectively chosen patches. The patches are chosen from the salient regions of the input image. Using human driven saliency maps from gaze, the benefi...More
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