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DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
We propose a new method named Random encoding of Aggregated Deep Activation Maps (RADAM) for feature extraction from pre-trained Deep CNNs. The technique consists of encoding the output at differen…