Distilling Missed Samples for Remote Sensing Oriented Object Detectors
Published in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2026
This paper proposes a knowledge distillation method based on missed detection sample enhancement: designing a cross scale missed detection sample enhancement dynamic selection of difficult samples, proposing local feature alignment distillation of key feature distributions, introducing generative adversarial constraint angle prediction, and improving the detection performance of lightweight detectors for multi-scale remote sensing targets in any direction.
Recommended citation:
L. He, P. Chen, B. Dong, Y. Zhang, J. Ni and Z. Zhu (corresponding author), "Distilling Missed Samples for Remote Sensing Oriented Object Detectors," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 9980-9997, 2026, doi: 10.1109/JSTARS.2026.3673759.
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