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.
Artificial intelligence (AI) is opening new ground in ecology. At Rice University, César A. Uribe is developing computational ...
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