For bugs or installation issues, please provide the following information.
The more information you provide, the more likely people will be able to help you.

Environment info

Operating System: Debian GNU/Linux 8 (jessie)

Compiler: gcc & g++ (4.9.2)

Package used (Python/R/Scala/Julia): Python

MXNet version: 0.11.1

Or if installed from source:

MXNet commit hash (git rev-parse HEAD): 2372518

If you are using python package, please provide

Python version and distribution: 2.7 / anaconda

Error Message:

Cannot reproduce the mAPs of faster-rcnn with resnet101+voc2017+voc2012.
The mAP I got is ~0.69 which is far less than the claimed 0.79.

If I use the pre-trained model from https://github.com/precedenceguo/mx-rcnn, the mAPs is correct. Please also see this issue.

Minimum reproducible example

in the rcnn folder, script/resnet_voc0712.sh 0