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Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning
Supervised deep neural networks are the-state-of-the-art for many tasks in the remote sensing domain, against the fact that such techniques require the dataset consisting of pairs of input and label, which are rare and expensive to collect in term of both manpower and resources.
Automatic Training Data Synthesis for Handwriting Recognition Using the Structural Crossing-Over Technique
The experiments are set to compare the performances of tangent-based affine transformation and the proposed approach in terms of the variety of generated characters and percent of recognition errors.
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