CNN

1. AlexNet
   Link: https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
2. VGGNet
   Link: https://arxiv.org/pdf/1409.1556.pdf
3. GoogleNet
   Link: https://arxiv.org/pdf/1409.4842.pdf
4. ResNet
   Link: https://arxiv.org/pdf/1512.03385v1.pdf
5. Batch Normalization
   Link: https://arxiv.org/pdf/1502.03167.pdf

FCN

1. FCN
   Link:https://www.cvfoundation.org/openaccess/content_cvpr_2015/papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf
2. R-FCN
   Link: https://arxiv.org/pdf/1605.06409.pdf

目标检测

1. R-CNN
   Link: https://arxiv.org/pdf/1311.2524.pdf
2. Fast R-CNN
   Link: https://arxiv.org/pdf/1504.08083.pdf
3. Faster R-CNN
   Link: https://arxiv.org/pdf/1506.01497.pdf
4. SSD
   Link: https://arxiv.org/pdf/1512.02325.pdf
5. YOLO
   Link: https://arxiv.org/pdf/1506.02640.pdf
6. YOLO v3
   Link: https://pjreddie.com/media/files/papers/YOLOv3.pdf
7. DenseBox
   Link: https://arxiv.org/pdf/1509.04874.pdf
8. Retina Net
   Link: https://arxiv.org/pdf/1708.02002.pdf
9. CornerNet
   Link: https://arxiv.org/pdf/1808.01244.pdf
10. CenterNet
    Link: https://arxiv.org/pdf/1904.07850.pdf

语义分割

1. DeepLab v1
   Link: https://arxiv.org/pdf/1412.7062v3.pdf
2. DeepLab v2
   Link: https://arxiv.org/pdf/1606.00915.pdf
3. DeepLab v3
   Link: https://arxiv.org/pdf/1706.05587.pdf
4. DeepLab v3+
   Link: https://arxiv.org/pdf/1802.02611.pdf
5. PSPNet
   Link: https://arxiv.org/pdf/1612.01105.pdf
6. SegNET
   Link: https://arxiv.org/pdf/1511.00561.pdf
7. U-NET
   Link: https://arxiv.org/pdf/1505.04597.pdf
8. Refine-NET
   Link: https://arxiv.org/pdf/1611.06612.pdf
9. Mask R-CNN
   Link: https://arxiv.org/pdf/1703.06870.pdf
10. G-FRNET
    Link: https://arxiv.org/pdf/1806.11266.pdf

Scale

1. SPP-Net
   Link: https://arxiv.org/pdf/1406.4729.pdf
2. FPN
   Link: https://arxiv.org/pdf/1612.03144.pdf
3. SNIP
   Link: https://arxiv.org/pdf/1711.08189.pdf

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