QUANTIFYING THE IMPACT OF WATERMARKING ON DEEP LEARNING ACCURACY IN MEDICAL IMAGE CLASSIFICATION





DiT-SLAM: Real-Time Dense Visual-Inertial SLAM with Implicit Depth Representation and Tightly-Coupled Graph Optimization

Recently, generating dense maps in real-time has become a hot research topic in the mobile robotics community, since dense maps can provide more informative and continuous features compared with sparse maps.Implicit depth representation (e.g., the depth code) derived from deep neural networks has been employed in the visual-only or visual-inertial

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