Transductive Zero-Shot Learning using Cross-Modal CycleGAN

In Computer Vision, Zero-Shot Learning (ZSL) aims at classifying unseen classes -- classes for which no matching training image exists. Most of ZSL works learn a cross-modal mapping between images and class labels for seen classes... (read more)

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Methods used in the Paper


METHOD TYPE
Residual Connection
Skip Connections
Convolution
Convolutions
Tanh Activation
Activation Functions
Sigmoid Activation
Activation Functions
ReLU
Activation Functions
Instance Normalization
Normalization
PatchGAN
Discriminators
Batch Normalization
Normalization
GAN Least Squares Loss
Loss Functions
Cycle Consistency Loss
Loss Functions
Leaky ReLU
Activation Functions
Residual Block
Skip Connection Blocks
CycleGAN
Generative Models