# CFENet

**Repository Path**: gwmen_dl/CFENet

## Basic Information

- **Project Name**: CFENet
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-02-04
- **Last Updated**: 2024-02-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

#### CFENet: Object Detection with Comprehensive Feature Enhancement Module

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we will release code after the paper publicly available, which is accepted by ACCV2018 recently.

##### Single Model Records(Non-ensemble results):

- 1st on ***UA-DETRAC***

- 6th on ***KITTI car detection***

- 2nd on ***WAD workshop***

- 1st on ***Visdrone object detection in videos***

- 6th on ***Wider Face for face detection***
- ***AP of 43.5 on COCO(ResNet101-CFENet512)***


#### Note that CFENet is only an efficient one-stage detector, which can achieve 23+fps on MS-COCO when single-scale inference(VGG-CFENet800).

In total, there are three versions of CFENet:

1) CFENet (the master branch on the going)

2) CFENet+ (the working branch)

3) CFENet++ (under writing)

### Citing

If you find this code useful in your research, please consider citing:

    @misc{zhao2018cfenet,
      author = {Qijie Zhao},
      title = {CFENet: Object Detection with Comprehensive Feature Enhancement Module},
      howpublished = {\url{https://github.com/qijiezhao/CFENet}},
      year = {2018}