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Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach
To simultaneously maximize multiple system performance metrics for matching radius determination, we devise a novel multi-task learning algorithm that enhances convergence speed of each task (corresponding to the optimization of one metric) and delivers more accurate overall predictions.
Multi-strategy Collaborative Optimized YOLOv5s and its Application in Distance Estimation
The increasing accident rate brought about by the explosive growth of automobiles has made the research on active safety systems of automobiles increasingly important.
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