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Training a Mask R-CNN Model Using the Nucleus Data | by FIRE Capital One Machine Learning of UMD.edu | Medium
![Explained architecture of Cascade Mask R-CNN module employed in the... | Download Scientific Diagram Explained architecture of Cascade Mask R-CNN module employed in the... | Download Scientific Diagram](https://www.researchgate.net/publication/355376215/figure/fig3/AS:1080451552808962@1634611132193/Explained-architecture-of-Cascade-Mask-R-CNN-module-employed-in-the-proposed-pipeline.png)
Explained architecture of Cascade Mask R-CNN module employed in the... | Download Scientific Diagram
GitHub - facebookresearch/maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
GitHub - tfwu/mask-rcnn.pytorch: A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
![AWS and NVIDIA achieve the fastest training times for Mask R-CNN and T5-3B | AWS Machine Learning Blog AWS and NVIDIA achieve the fastest training times for Mask R-CNN and T5-3B | AWS Machine Learning Blog](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2020/12/09/Mask-RCNN-PyTorch.jpg)