Jubin Johnson

Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency

Top-down saliency models produce a probability map that peaks at target locations specified by a task/goal such as object detection. They are usually trained in a supervised setting involving annotations of objects. We propose a weakly supervised top-down saliency framework using only binary labels…