  This work presents a drone detector with modified backbone and multiple
pyramid feature maps enhancement structure (MDDPE). Novel feature maps improve
modules that uses different levels of information to produce more robust and
discriminatory features is proposed. These module includes the feature maps
supplement function and the feature maps recombination enhancement function.To
effectively handle the drone characteristics, auxiliary supervisions that are
implemented in the early stages by employing tailored anchors designed are
utilized. To further improve the modeling of real drone detection scenarios and
initialization of the regressor, an updated anchor matching technique is
introduced to match anchors and ground truth drone as closely as feasible. To
show the proposed MDDPE's superiority over the most advanced detectors,
extensive experiments are carried out using well-known drone detection
benchmarks.
