Abstract: Weakly supervised object detection has emerged as a cost-effective and promising solution in remote sensing, as it requires only image-level labels and alleviates the burden of ...
Abstract: Current state-of-the-art visual-inertial odometry algorithms work on the assumption that the observed features are absolutely static, which leads to their weakness in dynamic environments.
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