ProjectsΒΆ

There are many projects built upon MMDetection. Some of them are published in top-tier conferences (CVPR, ICCV, and ECCV), the others are also highly influential. We list some of them as examples of how to extend MMDetection for your own projects. Pull requests are also welcomed.

To make this list also a reference for the community to develop and compare new object detection algorithms, we list them following the time order of top-tier conferences. Methods already supported and maintained by MMDetection are not listed.

  • Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax, CVPR2020. [paper][github]
  • Coherent Reconstruction of Multiple Humans from a Single Image, CVPR2020. [paper][github]
  • Look-into-Object: Self-supervised Structure Modeling for Object Recognition, CVPR 2020. [paper][github]
  • Video Panoptic Segmentation, CVPR2020. [paper][github]
  • D2Det: Towards High Quality Object Detection and Instance Segmentation, CVPR2020. [paper][github]
  • CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection, CVPR2020. [paper][github]
  • Learning a Unified Sample Weighting Network for Object Detection, CVPR 2020. [paper][github]
  • Scale-equalizing Pyramid Convolution for Object Detection, CVPR2020. [paper] [github]
  • Revisiting the Sibling Head in Object Detector, CVPR2020. [paper][github]
  • PolarMask: Single Shot Instance Segmentation with Polar Representation, CVPR2020. [paper][github]
  • Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection, CVPR2020. [paper][github]
  • ZeroQ: A Novel Zero Shot Quantization Framework, CVPR2020. [paper][github]
  • CBNet: A Novel Composite Backbone Network Architecture for Object Detection, AAAI2020. [paper][github]
  • RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation, AAAI2020. [paper][github]
  • Training-Time-Friendly Network for Real-Time Object Detection, AAAI2020. [paper][github]
  • Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution, NeurIPS 2019. [paper][github]
  • Reasoning R-CNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection, CVPR2019. [paper][github]
  • Learning RoI Transformer for Oriented Object Detection in Aerial Images, CVPR2019. [paper][github]
  • SOLO: Segmenting Objects by Locations. [paper][github]
  • SOLOv2: Dynamic, Faster and Stronger. [paper][github]
  • Dense Peppoints: Representing Visual Objects with Dense Point Sets. [paper][github]
  • IterDet: Iterative Scheme for Object Detection in Crowded Environments. [paper][github]
  • Cross-Iteration Batch Normalization. [paper][github]
  • DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution. [paper][github]
  • Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. [paper][github]
  • Pedestrian Detection: The Elephant In The Room. [paper][github]