1. Attention is all you need;ashish;Advances in neural information processing systems,2017
2. Very deep convolutional networks for large-scale image recognition;simonyan;Proc 3th Int ConfLearn Representat (ICLR),0
3. Fast r-cnn;ross;Proceedings of the IEEE International Conference on Computer Vision,2015
4. Dropout: a simple way to prevent neural networks from overfitting;nitish;The Journal of Machine Learning Research,2014
5. Spatial pyramid pooling in deep convolutional networks for visual recognition;kaiming;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015