# Deep Learning Papers Translation(CV)
## Image Classification
* AlexNet
[ImageNet Classification with Deep Convolutional Neural Networks](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf)
[中文版](http://noahsnail.com/2017/07/18/2017-07-18-AlexNet%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/07/04/2017-07-04-AlexNet%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91/)
* VGG
[Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/abs/1409.1556)
[中文版](http://noahsnail.com/2017/08/17/2017-08-17-VGG%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/08/17/2017-08-17-VGG%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* ResNet
[Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)
[中文版](http://noahsnail.com/2017/07/31/2017-07-31-ResNet%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/07/31/2017-07-31-ResNet%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* GoogLeNet
[Going Deeper With Convolutions](https://arxiv.org/abs/1409.4842)
[中文版](http://noahsnail.com/2017/07/21/2017-07-21-GoogleNet%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/07/21/2017-07-21-GoogleNet%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* BN-GoogLeNet
[Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift](https://arxiv.org/abs/1502.03167)
[中文版](http://noahsnail.com/2017/09/04/2017-09-04-Batch%20Normalization%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/09/04/2017-09-04-Batch%20Normalization%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* Inception-v3
[Rethinking the Inception Architecture for Computer Vision](https://arxiv.org/abs/1512.00567)
[中文版](http://noahsnail.com/2017/10/09/2017-10-09-Inception-V3%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/10/09/2017-10-09-Inception-V3%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* SENet
[Squeeze-and-Excitation Networks](https://arxiv.org/abs/1709.01507)
[中文版](http://noahsnail.com/2017/11/20/2017-11-20-Squeeze-and-Excitation%20Networks%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/11/20/2017-11-20-Squeeze-and-Excitation%20Networks%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
## Object Detection
* YOLO
[You Only Look Once: Unified, Real-Time Object Detection](https://arxiv.org/abs/1506.02640)
[中文版](http://noahsnail.com/2017/08/02/2017-08-02-YOLO%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/08/02/2017-08-02-YOLO%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* SSD
[SSD: Single Shot MultiBox Detector](https://arxiv.org/abs/1512.02325)
[中文版](http://noahsnail.com/2017/12/11/2017-12-11-Single%20Shot%20MultiBox%20Detector%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/12/11/2017-12-11-Single%20Shot%20MultiBox%20Detector%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* YOLO9000
[YOLO9000: Better, Faster, Stronger](https://arxiv.org/abs/1612.08242)
[中文版](http://noahsnail.com/2017/12/26/2017-12-26-YOLO9000,%20Better,%20Faster,%20Stronger%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/12/26/2017-12-26-YOLO9000,%20Better,%20Faster,%20Stronger%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* Deformable-ConvNets
[Deformable Convolutional Networks](https://arxiv.org/abs/1703.06211)
[中文版](http://noahsnail.com/2017/11/29/2017-11-29-Deformable%20Convolutional%20Networks%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/11/29/2017-11-29-Deformable%20Convolutional%20Networks%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* Faster R-CNN
[Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks](https://arxiv.org/abs/1506.01497)
[中文版](http://noahsnail.com/2018/01/03/2018-01-03-Faster%20R-CNN%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2018/01/03/2018-01-03-Faster%20R-CNN%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* R-FCN
[R-FCN: Object Detection via Region-based Fully Convolutional Networks](https://arxiv.org/abs/1605.06409)
[中文版](http://noahsnail.com/2018/01/22/2018-01-22-R-FCN%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2018/01/22/2018-01-22-R-FCN%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* FPN
[Feature Pyramid Networks for Object Detection](https://arxiv.org/abs/1612.03144)
[中文版](http://noahsnail.com/2018/03/20/2018-03-20-Feature%20Pyramid%20Networks%20for%20Object%20Detection%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2018/03/20/2018-03-20-Feature%20Pyramid%20Networks%20for%20Object%20Detection%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
## OCR
* CRNN
[An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition](https://arxiv.org/abs/1507.05717)
[中文版](http://noahsnail.com/2017/08/21/2017-08-21-CRNN%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2017/08/21/2017-08-21-CRNN%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
* CTPN
[Detecting Text in Natural Image with Connectionist Text Proposal Network](https://arxiv.org/abs/1609.03605)
[中文版](http://noahsnail.com/2018/02/02/2018-02-02-Detecting%20Text%20in%20Natural%20Image%20with%20Connectionist%20Text%20Proposal%20Network%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2018/02/02/2018-02-02-Detecting%20Text%20in%20Natural%20Image%20with%20Connectionist%20Text%20Proposal%20Network%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
## Mobile
* MobileNetV2
[MobileNetV2: Inverted Residuals and Linear Bottlenecks](https://arxiv.org/abs/1801.04381)
[中文版](http://noahsnail.com/2018/06/06/2018-06-06-MobileNetV2-%20Inverted%20Residuals%20and%20Linear%20Bottlenecks%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E6%96%87%E7%89%88/)
[中英文对照](http://noahsnail.com/2018/06/06/2018-06-06-MobileNetV2-%20Inverted%20Residuals%20and%20Linear%20Bottlenecks%E8%AE%BA%E6%96%87%E7%BF%BB%E8%AF%91%E2%80%94%E2%80%94%E4%B8%AD%E8%8B%B1%E6%96%87%E5%AF%B9%E7%85%A7/)
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## Reward
Will anyone find this?
*
