This is my result of test.py:
kld = 1.521207194771439
sim = 0.34196439919030536
nss = 0.9306758723494548
but when I try to visualize the affordance region in test.py,it has a big difference contrast to the ground truth region.
result:
ground truth:
result:
ground truth:
The task is a weakly supervised setting and does not have accurate pixel-level labelling as supervision, thus some examples show relative location that is not accurate enough.
This is my result of test.py: kld = 1.521207194771439 sim = 0.34196439919030536 nss = 0.9306758723494548 but when I try to visualize the affordance region in test.py,it has a big difference contrast to the ground truth region. result: ground truth: result: ground truth: