| Here are a few projects that are built on detectron2. | |
| They are examples of how to use detectron2 as a library, to make your projects more | |
| maintainable. | |
| ## Projects by Facebook | |
| Note that these are research projects, and therefore may not have the same level | |
| of support or stability of detectron2. | |
| + [DensePose: Dense Human Pose Estimation In The Wild](DensePose) | |
| + [Scale-Aware Trident Networks for Object Detection](TridentNet) | |
| + [TensorMask: A Foundation for Dense Object Segmentation](TensorMask) | |
| + [Mesh R-CNN](https://github.com/facebookresearch/meshrcnn) | |
| + [PointRend: Image Segmentation as Rendering](PointRend) | |
| + [Momentum Contrast for Unsupervised Visual Representation Learning](https://github.com/facebookresearch/moco/tree/master/detection) | |
| ## External Projects | |
| External projects in the community that use detectron2: | |
| <!-- | |
| - If you want to contribute, note that: | |
| - 1. please add your project to the end of the list and try to use only one line | |
| - 2. the project must provide models trained on standard data | |
| --> | |
| + [VoVNet backbones](https://github.com/youngwanLEE/vovnet-detectron2). | |
| + [AdelaiDet](https://github.com/aim-uofa/adet), a detection toolbox from the Universtiy of Adelaide. | |
| + [CenterMask : Real-Time Anchor-Free Instance Segmentation](https://github.com/youngwanLEE/centermask2) | |