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Questions tagged [mask-rcnn]

For questions about the mask R-CNN model, proposed in the paper "Mask R-CNN" (2018) by Kaiming He et al.

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How to instruct Mask RCNN to identify objects too close to each other?

I have been trying to train a Mask RCNN model to identify individual poker chips in a stack. No matter what property I change, the end results look like the following image. I was guessing the issue ...
ANN's user avatar
  • 29
2 votes
0 answers
589 views

Getting bounding box/boundaries from segmentations in UNet Nuclei Segmentation

From my understanding, in a tissue where nuclei are present and need to be detected, we need to predict bounding boxes (either rectangular/circular or in the shape of the nucleus, i.e. as in instance ...
Prasanjit Rath's user avatar
2 votes
0 answers
2k views

How much should we augment our training data?

I am wondering how much I should extend my training set with data augmentation. Is there somewhere a pre-defined number I can go with? Suppose I have 10000 images, can I go as far as 10x or 20x times, ...
Ad Blu's user avatar
  • 21
1 vote
1 answer
393 views

Mask R-CNN: How are the computed masks projected back to the input image?

The computed masks by Mask R-CNN are of fixed size $m \times m$ each. How are they projected back to the image?
orbit's user avatar
  • 21
1 vote
0 answers
298 views

Mask R-CNN: how is the inference done?

According to the Mask R-CNN paper and the picture below (taken from the paper), the mask branch is computed in parallel with the bbox classification and regression branches. However in the paper they ...
orbit's user avatar
  • 21
1 vote
0 answers
37 views

Can I use a Mask R-CNN to detect a skin texture?

I'm trying to implement a solution in python to detect skin in an image. I'm evaluating the Mask R-CNN model to create a mask on the skin (not on clothes). The problem is that every solution I have ...
Tix00's user avatar
  • 11
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0 answers
28 views

How can you add additional features/attributes while doing instance segmentation?

I want to do an instance segmentation of objects in images. Usually I would stick to something like an Mask R CNN and let it run. However additionally to the image itself and the pre-labeled images, I ...
Philipp's user avatar
  • 101
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102 views

Improving Mask RCNN by arbitrary scaling head input

Currently, I am looking at how Mask R-CNN works. It has a backbone, RPN, heads, etc. The backbone is used for creating the feature maps, which are then passed to the RPN to create proposals. Those ...
Darwin Harianto's user avatar