Codebase for Recurrent Scale Approximation for Object Detection in CNN published at ICCV 2017, [arXiv]. Here we offer the training and test code for two modules in the paper, scale-forecast network and recurrent scale approximation (RSA). Models for face detection trained on some open datasets are also provided.

Due to the terms of protection for copyright in SenseTime, the code will be released later. Please stay tuned for more features soon!

afw_gtmiss.mat: Revised face data annotation mentioned in Section 4.1 in the paper.

train/: Coming soon

predict/: Coming soon

Please kindly cite our work if it helps your research:

@inproceedings{liu_2017_rsa,
  Author = {Yu Liu and Hongyang Li and Junjie Yan and Fangyin Wei and Xiaogang Wang and Xiaoou Tang},
  Title = {Recurrent Scale Approximation for Object Detection in CNN},
  Journal = {IEEE International Conference on Computer Vision},
  Year = {2017}
}

We appreciate the contribution of the following researchers:

Dong Chen @Microsoft Research, some basic ideas are inspired by him when Yu Liu worked as an intern at MSR.

Jiongchao Jin @Beihang University, some baseline results are provided by him.