Arulkumar03/Fox_Sheep_Detector_Computer_Vision_model

1 2Here are a few projects that are built on detectron2.3They are examples of how to use detectron2 as a library, to make your projects more4maintainable.5 6## Projects by Facebook7 8Note that these are research projects, and therefore may not have the same level9of support or stability as detectron2.10 11+ [DensePose: Dense Human Pose Estimation In The Wild](DensePose)12+ [Scale-Aware Trident Networks for Object Detection](TridentNet)13+ [TensorMask: A Foundation for Dense Object Segmentation](TensorMask)14+ [Mesh R-CNN](https://github.com/facebookresearch/meshrcnn)15+ [PointRend: Image Segmentation as Rendering](PointRend)16+ [Momentum Contrast for Unsupervised Visual Representation Learning](https://github.com/facebookresearch/moco/tree/master/detection)17+ [DETR: End-to-End Object Detection with Transformers](https://github.com/facebookresearch/detr/tree/master/d2)18+ [Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation](Panoptic-DeepLab)19+ [D2Go (Detectron2Go)](https://github.com/facebookresearch/d2go), an end-to-end production system for training and deployment for mobile platforms.20+ [Pointly-Supervised Instance Segmentation](PointSup)21+ [Unbiased Teacher for Semi-Supervised Object Detection](https://github.com/facebookresearch/unbiased-teacher)22+ [Rethinking "Batch" in BatchNorm](Rethinking-BatchNorm/)23+ [Per-Pixel Classification is Not All You Need for Semantic Segmentation](https://github.com/facebookresearch/MaskFormer)24+ [Exploring Plain Vision Transformer Backbones for Object Detection](ViTDet/)25+ [MViTv2: Improved Multiscale Vision Transformers for Classification and Detection](MViTv2/)26 27 28## External Projects29 30External projects in the community that use detectron2:31 32<!--33 - If you want to contribute, note that:34 -  1. please add your project to the list and try to use only one line35 -  2. the project must provide models trained on standard datasets36 37 Projects are *roughly sorted* by: "score = PaperCitation * 5 + Stars",38 where PaperCitation equals the citation count of the paper, if the project is an *official* implementation of the paper.39 PaperCitation equals 0 otherwise.40 -->41 42+ [AdelaiDet](https://github.com/aim-uofa/adet), a detection toolbox including FCOS, BlendMask, etc.43+ [CenterMask](https://github.com/youngwanLEE/centermask2)44+ [Res2Net backbones](https://github.com/Res2Net/Res2Net-detectron2)45+ [VoVNet backbones](https://github.com/youngwanLEE/vovnet-detectron2)46+ [FsDet](https://github.com/ucbdrive/few-shot-object-detection), Few-Shot Object Detection.47+ [Sparse R-CNN](https://github.com/PeizeSun/SparseR-CNN)48+ [BCNet](https://github.com/lkeab/BCNet), a bilayer decoupling instance segmentation method.49+ [DD3D](https://github.com/TRI-ML/dd3d), A fully convolutional 3D detector.50+ [detrex](https://github.com/IDEA-Research/detrex), a detection toolbox for transformer-based detection algorithms including Deformable-DETR, DAB-DETR, DN-DETR, DINO, etc.51