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Showing 1 to 1 of 1 for “"Monocular Depth Estimation, Self-supervised Learning, Visual SLAM"”.

  1. Self-supervised Learning of Monocular Depth from Video

    Image-based depth estimation as a fundamental problem in computer vision allows for understanding the scene geometry using only cameras. This thesis addresses the specific problem of monocular depth estimation via self-supervised learning from RGB-only videos. Although existing work has shown …

    adelaide Repository record for Self-supervised Learning of Monocular Depth from Video (opens in a new tab)