preprocess/detectron2/projects/README.md

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 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

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.