CNN Architechture

1. 1.Deeper Network

1.1. 1.1 VGG16

1.2. 1.2 VGG19

1.3. 1.3 MSRA-Net

2. 2.Reinforce convolution block

2.1. 2.1 NIN (Network in network)

2.2. 2.2 Inception Net v1-v4

3. 4. From classification task to recognition task

3.1. 4.1 YOLO v1/v2

3.2. 4.2 SSD/DSSD

3.3. 4.3 RCNN/SPP-Net/Faster R-CNN/FPN

3.3.1. 4.3.1 Mask R-CNN

4. 5. Multitask

4.1. 5.1 SDS

4.1.1. 5.1.1 DeepMask

4.1.1.1. 5.1.1.1 FCIS

5. 6. Add new functional unit

5.1. 6.1 Inception v2 (BatchNormalization)

5.2. 6.2 FCN/FCN-CRF

5.3. 6.3 STNet

5.4. 6.4 CNN + RNN/LSTM

5.5. 6.5 GAN

6. 3. Intergrated (Deeper, Faster convergence)

6.1. 3.1 ResNet

6.1.1. 3.1.1 ResNext

6.1.2. 3.1.2 DenseNet

6.1.3. 3.1.3 Inception-ResNet

6.1.4. 3.1.4 Xception

6.1.5. 3.1.5 MobileNet/ShuffleNet/SqueezeNet (Light)