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 would one modify the Mask-RCNN head for polyline detection?
In Mask-RCNN they modify the standard mask head for human pose keypoint detection with the following tweaks:
Each keypoint is a 1-hot mask
Instead of sigmoid non-linearity on the output of the final ...
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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 ...
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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 ...
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Training Object Detection model on just 10 images
I am trying to train an object detection model using Mask-RCNN with Resnet50 as backbone. I am using the pre-trained models from PyTorch's Torchvision library. I have only 10 images that I can use to ...
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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, ...
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How can I decrease the time to compute the mask in the Mask-RCNN for human body detection?
I am using Mask-RCNN to detect human bodies in photos, to get a rough approximation of the ratio of their heights to the length of their chests. I want to decrease the time for making the mask of the ...
