Importance

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Abstract

In the training device, the partial image generation means generates partial images smaller than an input image from the input image. The feature space generation means generates a feature space to which feature values of the partial images are mapped, for each input image. The training data generation means generates training data by acquiring training partial images from the partial images based on the feature space. The training means trains a prediction model for predicting a probability that a predetermined feature is included in the training partial image using the training data. The prediction means performs prediction for the partial images included in the input image using a trained prediction model. Further, the training data generation means acquires training partial images used as training data in a next training, based on predicted values for the partial images in the feature space. Thus, the training of the prediction model by the training means is repeated while the training partial images are updated.

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First Claim