CVers 集合!!!
Image Classification
1. AlexNet
- 论文地址：https://arxiv.org/abs/1404.5997
- 论文详解：https://blog.csdn.net/qq_42735631/article/details/115800315
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/alexnet.py
2. VGGNet
- 论文地址: https://arxiv.org/pdf/1409.1556.pdf
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/116071166
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/vggnet.py
3. GoogLeNet
- 论文地址: http://arxiv.org/abs/1409.4842
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/116404840
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/googlenet.py
4. ResNet
- 论文地址: https://arxiv.org/pdf/1512.03385.pdf
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/116803066
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/resnet.py
5. DenseNet
- 论文地址: https://arxiv.org/pdf/1707.06990.pdf
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/116861074
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/densenet.py
6. MobileNet系列
6.1 MobileNet V1
- 论文地址: https://arxiv.org/abs/1704.04861
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121053364
- 模型代码
6.2 MobileNet V2
- 论文地址: https://arxiv.org/abs/1801.04381
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121053364
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/mobilenetv2.py
6.3 MobileNet V3
- 论文地址: https://arxiv.org/abs/1905.02244
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121053364
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/mobilenetv3.py
7. ShuffleNet系列
7.1 ShuffleNet V1
- 论文地址: https://arxiv.org/abs/1707.01083
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121064514
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/shufflenetv1.py
7.2 ShuffleNet V2
- 论文地址: https://arxiv.org/abs/1807.11164
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121064514
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/shufflenetv2.py
8. GhostNet
- 论文地址: https://arxiv.org/abs/1911.11907
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121065063
- 模型代码: https://github.com/codecat0/CV/blob/main/Image_Classification/models/ghostnet.py
Object Detection
1. R-CNN
- 论文地址: https://arxiv.org/abs/1311.2524
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121147838
- 模型代码
2. Fast R-CNN
- 论文地址: https://arxiv.org/abs/1504.08083
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121151584
- 模型代码
3. Faster R-CNN
- 论文地址: https://arxiv.org/abs/1506.01497
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121164268
- 模型代码: https://github.com/codecat0/CV/tree/main/Object_Detection/Faster_RCNN
4. SSD
- 论文地址: https://arxiv.org/abs/1512.02325
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121331064
- 模型代码: https://github.com/codecat0/CV/tree/main/Object_Detection/SSD
5. YOLO系列
5.1 YOLOV1
- 论文地址: https://arxiv.org/abs/1506.02640
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121445432
- 模型代码
5.2 YOLOV2
- 论文地址: https://arxiv.org/abs/1612.08242
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121456856
- 模型代码
5.3 YOLOV3
- 论文地址: https://arxiv.org/abs/1804.02767
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121479035
- 模型代码: https://github.com/codecat0/CV/tree/main/Object_Detection/YOLOV3
5.3 YOLOV4
- 论文地址: https://arxiv.org/abs/2004.10934
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/121621972
- 模型代码: https://github.com/codecat0/CV/tree/main/Object_Detection/YOLOV4
6. FPN
- 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
- 论文地址: https://arxiv.org/abs/1505.04597
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/122182266?spm=1001.2014.3001.5501
- 模型代码: https://github.com/codecat0/CV/tree/main/Semantic_Segmentation/UNet
3. FCN
- 论文地址: https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/122247211?spm=1001.2014.3001.5501
- 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
- 论文地址: https://arxiv.org/abs/1511.00561
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/122252894?spm=1001.2014.3001.5501
- 模型代码: https://github.com/codecat0/CV/tree/main/Semantic_Segmentation/SegNet
6. PSPNet
- 论文地址：https://arxiv.org/abs/1612.01105
- 论文详解: https://blog.csdn.net/qq_42735631/article/details/122069409
- 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