codecat0 / CV

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

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computer-vision gan image-augmentation image-classification image-processing object-detection pytorch segmentation

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CVers 集合!!!

Image Classification

1. AlexNet

[x] 论文地址：https://arxiv.org/abs/1404.5997
[x] 论文详解：https://blog.csdn.net/qq_42735631/article/details/115800315
[x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/alexnet.py
2. VGGNet
[x] 论文地址: https://arxiv.org/pdf/1409.1556.pdf
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/116071166
[x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/vggnet.py
3. GoogLeNet
[x] 论文地址: http://arxiv.org/abs/1409.4842
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/116404840
[x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/googlenet.py
4. ResNet
[x] 论文地址: https://arxiv.org/pdf/1512.03385.pdf
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/116803066
[x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/resnet.py
5. DenseNet
[x] 论文地址: https://arxiv.org/pdf/1707.06990.pdf
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/116861074
[x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/densenet.py
6. MobileNet系列

6.1 MobileNet V1
[x] 论文地址: https://arxiv.org/abs/1704.04861
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121053364
[ ] 模型代码
6.2 MobileNet V2
- [x] 论文地址: https://arxiv.org/abs/1801.04381
- [x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121053364
- [x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/mobilenetv2.py
  6.3 MobileNet V3
[x] 论文地址: https://arxiv.org/abs/1905.02244
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121053364
[x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/mobilenetv3.py
7. ShuffleNet系列

7.1 ShuffleNet V1
[x] 论文地址: https://arxiv.org/abs/1707.01083
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121064514
[x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/shufflenetv1.py
7.2 ShuffleNet V2
- [x] 论文地址: https://arxiv.org/abs/1807.11164
- [x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121064514
- [x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/shufflenetv2.py
  8. GhostNet
[x] 论文地址: https://arxiv.org/abs/1911.11907
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121065063
[x] 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/ghostnet.py

Object Detection

1. R-CNN

[x] 论文地址: https://arxiv.org/abs/1311.2524
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121147838
[ ] 模型代码
2. Fast R-CNN
[x] 论文地址: https://arxiv.org/abs/1504.08083
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121151584
[ ] 模型代码
3. Faster R-CNN
[x] 论文地址: https://arxiv.org/abs/1506.01497
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121164268
[x] 模型代码: https://github.com/codecat0/CV/tree/main/Object_Detection/Faster_RCNN
4. SSD
[x] 论文地址: https://arxiv.org/abs/1512.02325
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121331064
[x] 模型代码: https://github.com/codecat0/CV/tree/main/Object_Detection/SSD
5. YOLO系列

5.1 YOLOV1
[x] 论文地址: https://arxiv.org/abs/1506.02640
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121445432
[ ] 模型代码
5.2 YOLOV2
- [x] 论文地址: https://arxiv.org/abs/1612.08242
- [x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121456856
- [ ] 模型代码
  5.3 YOLOV3
[x] 论文地址: https://arxiv.org/abs/1804.02767
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121479035
[x] 模型代码: https://github.com/codecat0/CV/tree/main/Object_Detection/YOLOV3
5.3 YOLOV4
[x] 论文地址: https://arxiv.org/abs/2004.10934
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/121621972
[x] 模型代码: https://github.com/codecat0/CV/tree/main/Object_Detection/YOLOV4
6. FPN
[x] 论文地址: https://arxiv.org/abs/1612.03144
[ ] 论文详解
[ ] 模型代码
7. Mask R-CNN
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码

Semantic Segmentation

1. DeepLab系列

[ ] 论文地址
[ ] 论文详解
[ ] 模型代码
2. U-Net
- [x] 论文地址: https://arxiv.org/abs/1505.04597
- [x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/122182266?spm=1001.2014.3001.5501
- [x] 模型代码: https://github.com/codecat0/CV/tree/main/Semantic_Segmentation/UNet
  3. FCN
[x] 论文地址: https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/122247211?spm=1001.2014.3001.5501
[x] 模型代码: https://github.com/codecat0/CV/tree/main/Semantic_Segmentation/FCN
4. RCF
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码
5. SegNet
[x] 论文地址: https://arxiv.org/abs/1511.00561
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/122252894?spm=1001.2014.3001.5501
[x] 模型代码: https://github.com/codecat0/CV/tree/main/Semantic_Segmentation/SegNet
6. PSPNet
[x] 论文地址：https://arxiv.org/abs/1612.01105
[x] 论文详解: https://blog.csdn.net/qq_42735631/article/details/122069409
[x] 模型代码: https://github.com/codecat0/CV/tree/main/Semantic_Segmentation/PSPNet
Generative Models

1. AutoEncoder
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码
2. VAE
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码
3. GAN
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码
4. DCGAN
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码
5. CycleGAN
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码
6. WGAN
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码
7. StyleGAN
[ ] 论文地址
[ ] 论文详解
[ ] 模型代码