└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Deep Learning Papers Translation(CV) 2 | 3 | 4 | ## Image Classification 5 | 6 | * AlexNet 7 | [ImageNet Classification with Deep Convolutional Neural Networks](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf) 8 | [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/) 9 | [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/) 10 | 11 | * VGG 12 | [Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/abs/1409.1556) 13 | [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/) 14 | [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/) 15 | 16 | * ResNet 17 | [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) 18 | [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/) 19 | [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/) 20 | 21 | * GoogLeNet 22 | [Going Deeper With Convolutions](https://arxiv.org/abs/1409.4842) 23 | [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/) 24 | [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/) 25 | 26 | * BN-GoogLeNet 27 | [Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift](https://arxiv.org/abs/1502.03167) 28 | [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/) 29 | [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/) 30 | 31 | * Inception-v3 32 | [Rethinking the Inception Architecture for Computer Vision](https://arxiv.org/abs/1512.00567) 33 | [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/) 34 | [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/) 35 | 36 | * SENet 37 | [Squeeze-and-Excitation Networks](https://arxiv.org/abs/1709.01507) 38 | [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/) 39 | [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/) 40 | 41 | ## Object Detection 42 | 43 | * YOLO 44 | [You Only Look Once: Unified, Real-Time Object Detection](https://arxiv.org/abs/1506.02640) 45 | [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/) 46 | [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/) 47 | 48 | * SSD 49 | [SSD: Single Shot MultiBox Detector](https://arxiv.org/abs/1512.02325) 50 | [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/) 51 | [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/) 52 | 53 | * YOLO9000 54 | [YOLO9000: Better, Faster, Stronger](https://arxiv.org/abs/1612.08242) 55 | [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/) 56 | [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/) 57 | 58 | * Deformable-ConvNets 59 | [Deformable Convolutional Networks](https://arxiv.org/abs/1703.06211) 60 | [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/) 61 | [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/) 62 | 63 | * Faster R-CNN 64 | [Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks](https://arxiv.org/abs/1506.01497) 65 | [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/) 66 | [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/) 67 | 68 | * R-FCN 69 | [R-FCN: Object Detection via Region-based Fully Convolutional Networks](https://arxiv.org/abs/1605.06409) 70 | [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/) 71 | [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/) 72 | 73 | * FPN 74 | [Feature Pyramid Networks for Object Detection](https://arxiv.org/abs/1612.03144) 75 | [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/) 76 | [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/) 77 | 78 | ## OCR 79 | 80 | * CRNN 81 | [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) 82 | [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/) 83 | [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/) 84 | 85 | * CTPN 86 | [Detecting Text in Natural Image with Connectionist Text Proposal Network](https://arxiv.org/abs/1609.03605) 87 | [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/) 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/) 89 | 90 | ## Mobile 91 | 92 | * MobileNetV2 93 | [MobileNetV2: Inverted Residuals and Linear Bottlenecks](https://arxiv.org/abs/1801.04381) 94 | [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/) 95 | [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/) 96 | 97 | 112 | --------------------------------------------------------------------------------