update

README.md

@@ -1,8 +1,31 @@
 # sppnet-pytorch
-SPP layer could be added in CNN model between convolutional layer and fully-connected lay, so that you can input multi-size images into your CNN model.
+SPP layer could be added in CNN model between convolutional layer and fully-connected lay, so that you can input multi-size images into your CNN model. We use this structure in the paper <a href="https://arxiv.org/abs/1804.02047">Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond</a>
 </br>
 </br>
 The function `spatial_pyramid_pool()` in file `spp_layer.py` is independent. It could be added in your own models.
 </br>
 </br>
 See this:<a href="https://arxiv.org/abs/1406.4729">Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition</a>
+
+
+## Citation
+If you find this work useful for your research, please cite:
+```
+@article{ouyang2018pedestrian,
+  title={Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond},
+  author={Ouyang, Xi and Cheng, Yu and Jiang, Yifan and Li, Chun-Liang and Zhou, Pan},
+  journal={arXiv preprint arXiv:1804.02047},
+  year={2018}
+}
+```
+and
+```
+@inproceedings{he2014spatial,
+  title={Spatial pyramid pooling in deep convolutional networks for visual recognition},
+  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
+  booktitle={European conference on computer vision},
+  pages={346--361},
+  year={2014},
+  organization={Springer}
+}
+```