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Tagged with instance-segmentation object-detection
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Why instance segmentation architectures using reconstruction masks but not regression?
I'm wondering why many model architectures use binary mask reconstruction for segmentational CNNs, and not regression of mask polygon coordinates? Many object detectors use regression to find ...
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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?