Algorithm 1:

Bounding Box Generation Algorithm

1	Input: k-th layer attention map/heatmap from ResNet-50
2	Output: coordinates (x1, y1, x2, y2) of the bounding box
3	Scale heatmap intensities to [0, 255] and create a mask matrix with the same dimension as the heatmap.
4	if pixel > 180 then
5	⌊ mask[pixel] = 1
6	else
7	⌊ mask[pixel] = 0
8	Using dynamic programming [24], generate k maximum area rectangles as candidate BB.
9	Expand candidate rectangles uniformly across the edge till newly added ratio (0s count, 1s count) > 1
10	Select the rectangle with the maximum average pixel intensity mapped in the heatmap and return its coordinates.