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Our paper “Depth-Assisted Sparse Visual Odometry for UAV-Relevant Synthetic RGB-D Evaluation: A Controlled Geometric-Backend Ablation” is now published in Robotics.
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#TODO Download PDF
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The development of Object Detection algorithms has come a long way, starting with early computer vision and reaching a high level of accuracy through deep learning.
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A robot sitting next to a human in an office, trending on artstation, beautiful coloring, 4k, vibrant, blue and yellow, by DreamStudio Introduction Everyone knows about the ChatGPT.
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This post will visually describe the problem of understanding of such concepts as Accuracy, Precision, Recall, F1-Score, ROC Curve, and AUC, which are part of the development of any classification, detection, segmentation, etc. tasks in machine learning.
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As the field of Deep Learning continues to grow, the demand for efficient and lightweight neural networks becomes increasingly important.
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