同样有许多研究论文是基于 MMDetection 进行的。许多论文都发表在了顶级的会议或期刊上，或者对社区产生了深远的影响。 为了向社区提供一个可以参考的论文列表，帮助大家开发或者比较新的前沿算法，我们在这里也遵循会议的时间顺序列举了一些论文。 MMDetection 中已经支持的算法不在此列。

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

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

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

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

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

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]

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