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https://github.com/nemonameless/computer-version-papers-translation

image classification, object detection, semantic segmentation, image generation, image retrieval, etc.
https://github.com/nemonameless/computer-version-papers-translation

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image classification, object detection, semantic segmentation, image generation, image retrieval, etc.

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# Computer-Version-Papers-Translation
## Image Classification

* AlexNet
[ImageNet Classification with Deep Convolutional Neural Networks](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf)

* VGG
[Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/abs/1409.1556)

* ResNet
[Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)

* GoogLeNet
[Going Deeper With Convolutions](https://arxiv.org/abs/1409.4842)

* BN-GoogLeNet
[Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift](https://arxiv.org/abs/1502.03167)

* Inception-v3
[Rethinking the Inception Architecture for Computer Vision](https://arxiv.org/abs/1512.00567)

* SENet
[Squeeze-and-Excitation Networks](https://arxiv.org/abs/1709.01507)

## Object Detection

* YOLO
[You Only Look Once: Unified, Real-Time Object Detection](https://arxiv.org/abs/1506.02640)

* SSD
[SSD: Single Shot MultiBox Detector](https://arxiv.org/abs/1512.02325)

* YOLO9000
[YOLO9000: Better, Faster, Stronger](https://arxiv.org/abs/1612.08242)

* Deformable-ConvNets
[Deformable Convolutional Networks](https://arxiv.org/abs/1703.06211)

* Faster R-CNN
[Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks](https://arxiv.org/abs/1506.01497)

* R-FCN
[R-FCN: Object Detection via Region-based Fully Convolutional Networks](https://arxiv.org/abs/1605.06409)

## Semantic Segmentation

## Image Generation

## Image Retrieval