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README.md

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-# RSA-for-object-detection
-Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017
+# Recurrent Scale Approximation (RSA) for Object Detection
+
+![](result.jpg) 
+
+Codebase for *Recurrent Scale Approximation for Object Detection in CNN* published at **ICCV 2017**, [[arXiv]](https://arxiv.org/abs/1707.09531). 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!**
+
+## Codebase at a Glance
+
+
+`afw_gtmiss.mat`: Revised face data annotation mentioned in Section 4.1 in the paper.
+
+`train/`: Coming soon
+
+`predict/`: Coming soon
+
+
+## Citation
+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}
+    }
+
+## Acknowledgment
+We appreciate the contribution of the following researchers:
+
+[Dong Chen](https://www.microsoft.com/en-us/research/people/doch/) @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.