A Classwise Vulnerable Part Detection Method for Military Targets
Hanyu Wang,
Qiang Shen,
Juan Li
et al.
Abstract:Accurate vulnerable part detection based on full target detection results shows great importance in improving the damage effectiveness of the military drone. However, traditional object detection methods have difficulty in handling inaccurate full target bounding boxes and fail to model the semantic relationships between various class full targets and their key parts, resulting in low localization accuracy. The proposed approach includes a class-wise feature recalibration module, which effectively models the d… Show more
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