Deep/Sharp Mask or Mask R-CNN
Greetings and apologies if this is just a lazy question, but has anyone implemented either of the FAIR deep/sharp mask or the more recent r-cnn papers? Thanks, really enjoying learning about pytorch.
ceberly
From what I know, there are no public implementations of these papers in pytorch yet.
smth
ceberly
i’m also thinking of hacking up MaskRCNN (but not deepmask / sharpmask). Maybe we could work off a common repo.
smth
I would love that. Not sure if I’m qualified to help but it would be a good learning experience.
ceberly
I would be interested, too. Although from the looks of it, it won’t be a trivial project. It will be great to implement the instance segmentation component. I haven’t found that piece in any of the existing implementations of fast/faster RCNN. Everyone seems to stop at object detection. Also the pytorch ecosystem for segmentation is a bit small, so this could be a big win for pytorch getting a state of the art segmentation model into the model zoo.
bfortuner
Akshay_Deep_Lamba
did anyone start this? I tried getting either of these 2 work, but they dont work: I would love to  be able to do this in pytorch.
deepcode
Tgaaly
Any update on Pytorch implementation of Mask RCNN ?
tshrjn
Commenting for updates
Cat
Maybe someone can give me a hint on what this modification is for and how it works or a paper which descripes it. Thanks in advance
pfis
Commenting for updates. Did anyone try this?
rohun
I’m trying to implement Deepmask with Pytorch, so far I have defined the Joint Loss Function, and the model’s learn-able parameters. I was working on the training phase, and as the paper says that training must be done in an alternative back-propagation fashion across the two branches, I have written the code for the same. But there is some problem with training, I tried to train the model with a Fake Dataset, for minibatches other than the first mini-batch the loss of the model is turning out to be NAN. Can somebody help me with this?
jvj_iit