youngwanLEE/centermask2
CenterMask2 is a real-time anchor-free instance segmentation model based on detectron2/PyTorch.
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This repository implements CenterMask2, an upgraded instance segmentation model published at CVPR 2020. It performs real-time anchor-free instance segmentation on top of detectron2 and PyTorch, offering both full-scale and lightweight CenterMask-Lite variants for different speed/accuracy tradeoffs. The model uses VoVNetV2 as its backbone network and achieves state-of-the-art results on COCO benchmark outperforming methods like Mask R-CNN and YOLACT++.
Frequently asked
- What is youngwanLEE/centermask2?
- CenterMask2 is a real-time anchor-free instance segmentation model based on detectron2/PyTorch.
- Is centermask2 open source?
- Yes — youngwanLEE/centermask2 is an open-source project tracked on heatdrop.
- What language is centermask2 written in?
- youngwanLEE/centermask2 is primarily written in Python.
- How popular is centermask2?
- youngwanLEE/centermask2 has 779 stars on GitHub.
- Where can I find centermask2?
- youngwanLEE/centermask2 is on GitHub at https://github.com/youngwanLEE/centermask2.