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mmdetection implement of "Learning Rich Features at High-Speed for Single-Shot Object Detection",ICCV, 2019

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LRF-Net-implemented-in-mmdetection

mmdetection versions of "Learning Rich Features at High-Speed for Single-Shot Object Detection", ICCV, 2019

Introduction

This is a translation version of the offical implemention vaesl/LRF-Net. You can easily customize your own dataset with the help of mmdetection toolbox.

Installation and How to use

Please follow the instructions of mmdetection/docs/INSTALL.md. Put my code into the corresponding folders of mmdetection. The tutorial of mmdetection is available at GETTING_STARTED.

Compare with the offical version

Dateset support

Dataset This Repository Offical Version
coco
Pascal VOC ×

Performance

Performance in PASCAL VOC

All the following scores are trained with VOC 07+12 trainval by 24 epoch and test in VOC07 test.

Models Performance
SSD300 0.767
LRF300 0.797
SSD512 0.793
LRF512 0.818

Performance in COCO

All of the following scores are from the official trained models which transformed into mmdetection version. i.e. I only change the keys of OrderedDict.

Models Train DataSet Test DataSet This Repository
LRF300 coco2014 trainval coco2017 val 0.267
LRF512 coco2014 trainval coco2017 val 0.31

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mmdetection implement of "Learning Rich Features at High-Speed for Single-Shot Object Detection",ICCV, 2019

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