# DetectoRS

**Repository Path**: magic_public_transportation/DetectoRS

## Basic Information

- **Project Name**: DetectoRS
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-12
- **Last Updated**: 2024-06-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DetectoRS

## News

[06/30/2020] DetectoRS is now officially supported by [MMDetection](https://github.com/open-mmlab/mmdetection).
A huge thanks to [@xvjiarui](https://github.com/xvjiarui), [@ZwwWayne](https://github.com/ZwwWayne) and [@hellock](https://github.com/hellock) for helping migrating the code.

[06/15/2020] We have released the implementation of DetectoRS based on mmdetection-v2 in the branch **mmdetv2**, which allows more detectors to use RFP and SAC.

## Introduction

This repo holds the code for [DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution](https://arxiv.org/pdf/2006.02334.pdf).
The project is based on [mmdetection codebase](https://github.com/open-mmlab/mmdetection).
Please refer to [mmdetection readme](README.mmdet.md) for installation and running scripts.
The code is tested with PyTorch 1.4.0.
It may not run with other versions.
See [conda_env.md](conda_env.md) for the versions of all the packages.

## Main Results on COCO test-dev

| Method    | Backbone          | Config | Model | Box AP | Mask AP |
|-----------|:-----------------:|--------------|--------------|:------------:|:------------:|
| DetectoRS | ResNet-50         | [File Link](configs/DetectoRS/DetectoRS_mstrain_400_1200_r50_40e.py) | [Download](http://cs.jhu.edu/~syqiao/DetectoRS/DetectoRS_R50-0f1c8080.pth) | 51.3 | 44.4 |
| DetectoRS | ResNeXt-101-32x4d | [File Link](configs/DetectoRS/DetectoRS_mstrain_400_1200_x101_32x4d_40e.py) | [Download](https://www.cs.jhu.edu/~syqiao/DetectoRS/DetectoRS_X101-ed983634.pth) | 53.3 | 45.8 |

## Citing DetectoRS

If you think DetectoRS is useful in your project, please consider citing us.

```BibTeX
@article{detectors,
  title={DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution},
  author={Qiao, Siyuan and Chen, Liang-Chieh and Yuille, Alan},
  journal={arXiv preprint arXiv:2006.02334},
  year={2020}
}
```