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View Code? Open in Web Editor NEWWeakly Supervised Cell Instance Segmentation by Propagating from Detection Response, in MICCAI2019.
License: MIT License
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response, in MICCAI2019.
License: MIT License
Dear Mr. Nishimura,
I have been reading your paper with interest and decided to look into the implementation (thank you very much for providing legible code) of the region backprop as defined in Eq. 5 in your paper "Weakly supervised cell instance segmentation under various conditions". However, I could not find it. The closest I got to a backpropagation based region proposal method was in the guided_model.py aroung lines 160-180, namely in the function call: img_grad.sum(1).clone().clamp(min=0).cpu().numpy(). What I read from this line is namely - the gradient used is the gradient w.r.t. the input, but with ReLU applied on it, which as far as I can see is not the same as in the paper.
Where am I wrong?
Your paper is really interesting and I would really appreciate your clarification. :)
Yours,
Erik
Hi, Thanks for sharing your work!
I want to know how to evaluate mDice score, so I've searched Evaluation code.
It may be in util's EvaluationMethods, but I couldn't find it.
Would you tell me where the evaluation code locates?
Hi,
I wanted to try your code on a dataset which has centroid (x,y) position given. Kindly, can you tell me what "frame" refers to in your txt file which has 3 things "frame", "x", "y".
Does "frame" refers to image name in your dataset ?
I tried below command. But it occur error about gzip: stdin: not in gzip format.
command: wget http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/GCmex1.9.tar.gz
Consiering, I can't found above URL and GCmex1.9.tar.gz
Please teach me Solutions
Hello
How are you?
Thanks for contributing this paper and project.
I have a question.
Do u think that this method can be used in the retail product segmentation.
Thanks
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