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MMDetection

swMATH ID: 30737
Software Authors: Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
Description: MMDetection: Open MMLab Detection Toolbox and Benchmark. We present MMDetection, an object detection toolbox that contains a rich set of object detection and instance segmentation methods as well as related components and modules. The toolbox started from a codebase of MMDet team who won the detection track of COCO Challenge 2018. It gradually evolves into a unified platform that covers many popular detection methods and contemporary modules. It not only includes training and inference codes, but also provides weights for more than 200 network models. We believe this toolbox is by far the most complete detection toolbox. In this paper, we introduce the various features of this toolbox. In addition, we also conduct a benchmarking study on different methods, components, and their hyper-parameters. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new detectors. Code and models are available at this https URL. The project is under active development and we will keep this document updated.
Homepage: https://arxiv.org/abs/1906.07155
Source Code:  https://github.com/open-mmlab/mmdetection
Keywords: Computer Vision; Pattern Recognition; arXiv_cs.CV; Machine Learning; arXiv_cs.LG; Image Processing; Video Processing; arXiv_eess.IV
Related Software: PyTorch; Detectron; Caffe; SimpleDet; ImageNet; SqueezeNet; Adam; TensorFlow; Python; KiloNeRF; SinGAN; LoFTR; Patch2Pix; VideoBERT; BRISK; CamNet; MVSNet; Fashion-MNIST; PointNet; Vid2Player
Cited in: 1 Publication

Standard Articles

1 Publication describing the Software Year
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
2019

Cited by 1 Author

1 Szeliski, Richard

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