入门DeepLearning-小乐陪你读paper
2016年11月09日
Text Recognition
- Fully Convolutional Recurrent Network for Handwritten Chinese Text Recognition paper
- Deep LSTM Networks for Online Chinese Handwriting Recognition 2016 ICFHR
- Convolution Multi-directional Recurrent Network for Offline Handwritten Text Recognition 2016 ICFHR
- Sequence to Sequence Learning with Neural Networks paper
- Deep Neural Network based Hidden Markov Model for Offline Handwritten Chinese Text Recognition paper
- Scene Text Script Identification with Convolutional Recurrent Neural Networks paper
- A Simple Way to Initialize Recurrent Networks of Rectified Linear Units paper Google paper,强烈推荐
- Generating Sequences With Recurrent Neural Networks paper Alex论文,RNN入门首选
- Recurrent Neural Network Regularization paper 就是说一下怎么在RNN中应用Dropout
- Recurrent Batch Normalization paper RNN中应用normalization效果好
Style Transfer
- A learned representation for artistic style, okt 2016, Google, arxiv, demo
- Fast Style Transfer in TensorFlow, github 使用Tensorflow来做,最好提前下好VGG模型
- https://arxiv.org/abs/1508.06576
- https://arxiv.org/abs/1607.08022
- https://cs.stanford.edu/people/jcjohns/eccv16/
Object Recognition
- Learning to Make Better Mistakes: Semantics-aware Visual Food Recognition, okt 2016, IBM, paper
- T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos, aug 2016, github, arxiv
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning, aug 2016, Google, arxiv
- Residual Networks of Residual Networks: Multilevel Residual Networks, aug 2016, arxiv
- Training Region-based Object Detectors with Online Hard Example Mining, apr 2016, Facebook, arxiv
- Deep Residual Learning for Image Recognition, dec 2015, arxiv
- SSD: Single Shot MultiBox Detector, dec 2015, Google, github, arxiv
- ParseNet: Looking Wider to See Better, jun 2015, arxiv
- You Only Look Once: Unified, Real-Time Object Detection, jun 2015, Facebook, arxiv
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, jun 2015, Microsoft/Facebook arxiv
- Selective Search for Object Recognition, 2012, paper
- Rich feature hierarchies for accurate object detection and semantic segmentation, 2014, paper
-_-below can discuss!-_-