简体中文 | [English](README.md) # CenterNet (CenterNet: Objects as Points) ## 内容 - [简介](#简介) - [模型库](#模型库) - [引用](#引用) ## 内容 [CenterNet](http://arxiv.org/abs/1904.07850)是Anchor Free检测器,将物体表示为一个目标框中心点。CenterNet使用关键点检测的方式定位中心点并回归物体的其他属性。CenterNet是以中心点为基础的检测方法,是端到端可训练的,并且相较于基于anchor的检测器更加检测高效。 ## 模型库 ### CenterNet在COCO-val 2017上结果 | 骨干网络 | 输入尺寸 | mAP | FPS | 下载链接 | 配置文件 | | :--------------| :------- | :----: | :------: | :----: |:-----: | | DLA-34(paper) | 512x512 | 37.4 | - | - | - | | DLA-34 | 512x512 | 37.6 | - | [下载链接](https://bj.bcebos.com/v1/paddledet/models/centernet_dla34_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_dla34_140e_coco.yml) | | ResNet50 + DLAUp | 512x512 | 38.9 | - | [下载链接](https://bj.bcebos.com/v1/paddledet/models/centernet_r50_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_r50_140e_coco.yml) | | MobileNetV1_1x + DLAUp | 512x512 | 28.2 | - | [下载链接](https://paddledet.bj.bcebos.com/models/centernet_mbv1_x1_0_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_mbv1_1x_140e_coco.yml) | | MobileNetV3_small_x1_0 + DLAUp | 512x512 | comming soon | - | comming soon | comming soon | | MobileNetV3_large_x1_0 + DLAUp | 512x512 | 27.1 | - | [下载链接](https://paddledet.bj.bcebos.com/models/centernet_mbv3_large_x1_0_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_mbv3_large_1x_140e_coco.yml) | | ShuffleNetV2_x1_0 + DLAUp | 512x512 | 23.8 | - | [下载链接](https://paddledet.bj.bcebos.com/models/centernet_shufflenetv2_1x_140e_coco.pdparams) | [配置文件](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/centernet/centernet_shufflenetv2_1x_140e_coco.yml) | ## 引用 ``` @article{zhou2019objects, title={Objects as points}, author={Zhou, Xingyi and Wang, Dequan and Kr{\"a}henb{\"u}hl, Philipp}, journal={arXiv preprint arXiv:1904.07850}, year={2019} } ```