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Showing 1 to 1 of 1 for “"BatchNorm Calibration"”.

  1. Label-Efficient Visual Understanding with Consistency Constraints

    Modern deep neural networks are proficient at solving various visual recognition and understanding tasks, as long as a sufficiently large labeled dataset is available during the training time. However, the progress of these visual tasks is limited by the number of manual annotations. On the other …

    vt Repository record for Label-Efficient Visual Understanding with Consistency Constraints (opens in a new tab)