Abstract: There is provided with an information processing apparatus. A performing unit performs, for each of a plurality of recognition models that perform different recognition tasks, learning using corresponding learning data. A reconstructing unit reconstructs, during the learning, the plurality of recognition models by replacing weight parameters respectively acquired by shared parts of the recognition models with an integrated parameter obtained by integrating the weight parameters. A setting unit sets, during the learning, an integration cycle for performing the integration.

Abstract: There is provided with an information processing apparatus. An outputting unit, for each of a plurality of reference angles, outputs an evaluation value indicating whether a detection target in an image is inclined at the reference angle with respect to a standard orientation of the detection target. A first estimating unit estimates an inclination angle of the detection target in the image with respect to the standard orientation based on the evaluation values that have been respectively output for the plurality of reference angles. A detecting unit detects the detection target through processing in which an adjustment has been made using the estimated inclination angle.