Enhancing Object Detector Performance through Task-Integrated Knowledge Distillation

The core message of this paper is to propose a novel knowledge distillation method that simultaneously considers the classification and regression tasks of object detectors, enabling accurate assessment of the student model's learning condition and enhancing the effectiveness of knowledge distillation.