CFENet

by qijiezhao

qijiezhao / CFENet

Comprehensive Feature Enhancement Module for Single-Shot Object Detector

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CFENet: Object Detection with Comprehensive Feature Enhancement Module


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}

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