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Keyword: segmentation masks ×Clear all

3 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Mask R-CNN

   He, Gkioxari, Dollár and Girshick · arXiv (Cornell University) · 2017

   The paper presents Mask R-CNN, which adds a mask-predicting branch to Faster R-CNN for instance segmentation, and reports top results across the COCO challenge tracks.

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   1. UncheckedMask R-CNN is simple to train, adds only a small overhead to Faster R-CNN, and runs at 5 frames per second.“Mask R-CNN is simple to train and adds only a small overhead to Faster R-CNN, running at 5 fps.”
   2. Unchecked“Moreover, Mask R-CNN is easy to generalize to other tasks, e.g., allowing us to estimate human poses in the same framework.”
   3. UncheckedMask R-CNN, without extra tricks, is reported to beat all other single-model entries on every COCO task, including the 2016 challenge winners.“Without bells and whistles, Mask R-CNN outperforms all existing, single-model entries on every task, including the COCO 2016 challenge winners.”