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Robert Bosch GmbH, Stuttgart, Germany Robot Learning Lab, University of Freiburg, Freiburg, Germany 22email:
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Saliency-driven masking in video self-supervised learning can boost performance in autonomous driving tasks by preserving critical context that traditional random masking overlooks.
Training-free methods can effectively uncover semantic mislabels in object detection datasets, but struggle with positional inaccuracies.