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The growing use of unmanned aerial vehicles (UAVs) has increased the importance of image-based UAV detection. Learning-based detectors are trained on imagery and annotations, with annotation type determining the information available during training. We focus on learning localization from frame-level target presence/ab...
It is demonstrated that high natural-trajectory accuracy can coexist with weak controlled target-state responsiveness in fixed representation-readout pairs and adding responsiveness and context sensitivity to a failure predictor reduces policy-failure prediction error on new initializations relative to the specified ba...
PaGNet is best viewed not as a universally superior tabular learner, but as a proxy-aware panel model that combines competitive forecasting with explicit per-target branch-reliance reporting that combines competitive forecasting with explicit per-target branch-reliance reporting.
The findings demonstrate that MSA-Net greatly improves segmentation, particularly in tiny tumors, demonstrating its usefulness in real-world clinical contexts.
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