Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition

17 Jul 2019 Nour Soufi Matias Valdenegro-Toro

Traffic sign recognition is an important component of many advanced driving assistance systems, and it is required for full autonomous driving. Computational performance is usually the bottleneck in using large scale neural networks for this purpose... (read more)

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Methods used in the Paper


METHOD TYPE
Concatenated Skip Connection
Skip Connections
PatchGAN
Discriminators
Batch Normalization
Normalization
Leaky ReLU
Activation Functions
Sigmoid Activation
Activation Functions
Pix2Pix
Generative Models
ReLU
Activation Functions
Residual Connection
Skip Connections
Average Pooling
Pooling Operations
Fire Module
Image Model Blocks
Global Average Pooling
Pooling Operations
1x1 Convolution
Convolutions
Dropout
Regularization
Xavier Initialization
Initialization
Max Pooling
Pooling Operations
Softmax
Output Functions
SqueezeNet
Convolutional Neural Networks
Convolution
Convolutions
GAN
Generative Models