Slide 29
Slide 29 text
ଞʹࢼͨ͜͠ͱ
Model: Tiramisu (U-Net + Dense Net), Normal U-Net
Upsampling: Pixel Shuffler, Transposed Convolution
Regularization: Batch Normalization/Renormalization, Dropout, Weight Decay
Activation: ELU, LeakyReLU, PReLU, RReLU
Optimizer: momentumSGD, Adadelta, Adam
Data Augmentation: Rotate, Shift, HSV Shift
28