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Hi, do you know why the segmented result (the area of the target object) is always smaller than the ground truth? Someone told me the reason is threshold for the segmentation mask in the method is too large. But I don't what is this threshold?
Hi, I have a question about Robust Resizing Affordance Mask: how to set the hyperparameter α and where to set? How can I make α learned during the network training phase.
During training, alpha is 0.005 (line 478 and 485 in proposal_target_layer.py). During testing, you can change line 20 in demo_img.py.
This param is not learnable.
Thank you for your reply.
But how to determine the value of alpha?
It's a hyperparameter. Setting a higher value of alpha will lead to noisier affordance map. You may want to play with this param in the demo script.