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基于 MMDetection 的项目

许多项目都是基于 MMDetection 构建的。我们列出其中的一些项目作为如何扩展 MMDetection 用于您自己的项目的示例。由于该页面可能尚未完成,请随时创建 PR 来更新此页面。

作为扩展的项目

一些项目扩展了 MMDetection 的边界,用于部署或其他研究领域。它们揭示了 MMDetection 的潜力。我们列出以下几个项目。

  • OTEDetection: 用于目标检测的 OpenVINO 训练扩展。

  • MMDetection3d: OpenMMLab 的下一代通用 3D 目标检测平台。

论文项目

还有一些项目是与论文一起发布的。其中一些论文发表在顶级会议(CVPR、ICCV 和 ECCV)上,其他论文也极具影响力。为了使这个列表也成为社区开发和比较新的目标检测算法的参考,我们将按照顶级会议的时间顺序列出它们。MMDetection 已经支持和维护的方法不在此列出。

  • Involution: Inverting the Inherence of Convolution for Visual Recognition, CVPR21. [论文][github]

  • Multiple Instance Active Learning for Object Detection, CVPR 2021. [论文][github]

  • Adaptive Class Suppression Loss for Long-Tail Object Detection, CVPR 2021. [论文][github]

  • Generalizable Pedestrian Detection: The Elephant In The Room, CVPR2021. [论文][github]

  • Group Fisher Pruning for Practical Network Compression, ICML2021. [论文][github]

  • Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax, CVPR2020. [论文][github]

  • Coherent Reconstruction of Multiple Humans from a Single Image, CVPR2020. [论文][github]

  • Look-into-Object: Self-supervised Structure Modeling for Object Recognition, CVPR 2020. [论文][github]

  • Video Panoptic Segmentation, CVPR2020. [论文][github]

  • D2Det: Towards High Quality Object Detection and Instance Segmentation, CVPR2020. [论文][github]

  • CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection, CVPR2020. [论文][github]

  • Learning a Unified Sample Weighting Network for Object Detection, CVPR 2020. [论文][github]

  • Scale-equalizing Pyramid Convolution for Object Detection, CVPR2020. [论文] [github]

  • Revisiting the Sibling Head in Object Detector, CVPR2020. [论文][github]

  • PolarMask: Single Shot Instance Segmentation with Polar Representation, CVPR2020. [论文][github]

  • Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection, CVPR2020. [论文][github]

  • ZeroQ: A Novel Zero Shot Quantization Framework, CVPR2020. [论文][github]

  • CBNet: A Novel Composite Backbone Network Architecture for Object Detection, AAAI2020. [论文][github]

  • RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation, AAAI2020. [论文][github]

  • Training-Time-Friendly Network for Real-Time Object Detection, AAAI2020. [论文][github]

  • Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution, NeurIPS 2019. [论文][github]

  • Reasoning R-CNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection, CVPR2019. [论文][github]

  • Learning RoI Transformer for Oriented Object Detection in Aerial Images, CVPR2019. [论文][github]

  • SOLO: Segmenting Objects by Locations. [论文][github]

  • SOLOv2: Dynamic, Faster and Stronger. [论文][github]

  • Dense Peppoints: Representing Visual Objects with Dense Point Sets. [论文][github]

  • IterDet: Iterative Scheme for Object Detection in Crowded Environments. [论文][github]

  • Cross-Iteration Batch Normalization. [论文][github]

  • A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection, NeurIPS2020 [论文][github]

  • RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder, NeurIPS2020 [论文][github]

  • Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021[论文][github]

  • Swin Transformer: Hierarchical Vision Transformer using Shifted Windows, ICCV2021[论文][github]

  • Focal Transformer: Focal Self-attention for Local-Global Interactions in Vision Transformers, NeurIPS2021[论文][github]

  • 端到端半监督目标检测,使用软教师,ICCV2021 [论文][github]

  • CBNetV2:用于目标检测的新型复合骨干网络架构 [论文][github]

  • 实例作为查询,ICCV2021 [论文][github]