Distilling object detectors with efficient logit mimicking and mask-guided feature imitation

Published: 01 Jan 2024, Last Modified: 28 Sept 2024Expert Syst. Appl. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Distillation via classification logits can benefit one-class object detection.•Logit mimicking for localization mitigates missed and false detections.•Teacher sample selection enhances knowledge transmission efficiency.•A soft metric and a loss-guided mask are more suitable for feature imitation.
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