Abstract: The few-shot object detection (FSOD) in remote sensing (RS) faces a fundamental challenge in balancing contextual feature learning with the representation stability. Current approaches ...
Abstract: Domain adaptive object detection methods for remote sensing images (RSIs) typically rely on large-scale target-domain data and multiepoch offline adaption training. However, the wide ...
Presentation of the best paper award at the RoboCup 2025 symposium.
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