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.
Note that these are research projects, and therefore may not have the same level of support or stability as detectron2.
- DensePose: Dense Human Pose Estimation In The Wild
- Scale-Aware Trident Networks for Object Detection
- TensorMask: A Foundation for Dense Object Segmentation
- Mesh R-CNN
- PointRend: Image Segmentation as Rendering
- Momentum Contrast for Unsupervised Visual Representation Learning
- DETR: End-to-End Object Detection with Transformers
- Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
- D2Go (Detectron2Go), an end-to-end production system for training and deployment for mobile platforms.
- Pointly-Supervised Instance Segmentation
- Unbiased Teacher for Semi-Supervised Object Detection
- Rethinking "Batch" in BatchNorm
- Per-Pixel Classification is Not All You Need for Semantic Segmentation
- Exploring Plain Vision Transformer Backbones for Object Detection
- MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
External projects in the community that use detectron2:
- AdelaiDet, a detection toolbox including FCOS, BlendMask, etc.
- CenterMask
- Res2Net backbones
- VoVNet backbones
- FsDet, Few-Shot Object Detection.
- Sparse R-CNN
- BCNet, a bilayer decoupling instance segmentation method.
- DD3D, A fully convolutional 3D detector.
- detrex, a detection toolbox for transformer-based detection algorithms including Deformable-DETR, DAB-DETR, DN-DETR, DINO, etc.