1.Deep Bilateral Learning for Real-Time Image Enhancement

　　https://groups.csail.mit.edu/graphics/hdrnet/

　　2.Local Binary Convolutional Neural Networks (LBCNN)

　　https://github.com/juefeix/lbcnn.torch

　　https://xujuefei.com/lbcnn.html

　　3.A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques

　　https://arxiv.org/abs/1707.02919

　　4.Deep Learning based Recommender System: A Survey and New Perspectives

　　https://arxiv.org/abs/1707.07435

　　5.STN-OCR: A single Neural Network for Text Detection and Text Recognition

　　https://arxiv.org/abs/1707.08831

　　https://github.com/Bartzi/stn-ocr

　　6.Natural Language Processing with Small Feed-Forward Networks

　　https://arxiv.org/abs/1708.00214

　　7.Photographic Image Synthesis with Cascaded Refinement Networks

　　https://arxiv.org/abs/1707.09405

　　8.Residual Attention Network for Image Classification

　　https://arxiv.org/abs/1704.06904

　　https://github.com/buptwangfei/residual-attention-network

　　9.FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras

　　https://arxiv.org/abs/1707.09476

　　10.ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

　　https://github.com/jaxony/ShuffleNet

　　https://arxiv.org/abs/1707.01083