深度学习经典论文翻译合集Deep Learning Papers Translation(CV)

Posted 2021-09-06 架构师易筋

1. 图像分类Image Classification

1.1 AlexNet

ImageNet Classification with Deep Convolutional Neural Networks
中文版
中英文对照

1.2.VGG

Very Deep Convolutional Networks for Large-Scale Image Recognition
中文版
中英文对照

1.3 ResNet

Deep Residual Learning for Image Recognition
中文版
中英文对照

1.4 GoogLeNet

Going Deeper With Convolutions
中文版
中英文对照

1.5 BN-GoogLeNet

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
中文版
中英文对照

1.6 Inception-v3

Rethinking the Inception Architecture for Computer Vision
中文版
中英文对照

1.7 SENet

Squeeze-and-Excitation Networks
中文版
中英文对照

2. 对象识别 Object Detection

2.1 YOLO

You Only Look Once: Unified, Real-Time Object Detection
中文版
中英文对照

2.2 SSD

SSD: Single Shot MultiBox Detector
中文版
中英文对照

2.3 YOLO9000

YOLO9000: Better, Faster, Stronger
中文版
中英文对照

2.4 Deformable-ConvNets

Deformable Convolutional Networks
中文版
中英文对照

2.5 Faster R-CNN

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
中文版
中英文对照

2.6 R-FCN

R-FCN: Object Detection via Region-based Fully Convolutional Networks
中文版
中英文对照

2.7 FPN

Feature Pyramid Networks for Object Detection
中文版
中英文对照

3. OCR 光学字符识别（Optical Character Recognition）

3.1 CRNN

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
中文版
中英文对照

3.2 CTPN

Detecting Text in Natural Image with Connectionist Text Proposal Network
中文版
中英文对照

4. Mobile 优化后的模型可用于手机

4.1 MobileNetV2

MobileNetV2: Inverted Residuals and Linear Bottlenecks
中文版
中英文对照

5. 图片分割 Image Segmentation

5.1 U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation
中文版
中英文对照

6. GAN

6.1 SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
中文版
中英文对照

6.2 ESRGAN

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
中文版
中英文对照

参考

https://github.com/SnailTyan/deep-learning-papers-translation