A Review on Deep Learning Techniques Applied to Semantic Segmentation

Introduction Terminology and Background Concepts 1 Common Deep Network Architectures AlexNet VGG-16 GoogLeNet ResNet ReNet 2 Transfer Learning 3 Data Preprocessing and Augmentation Datasets and Challe

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