# 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/1506.02***0) [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/1605.0***09) [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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