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Physics-informed neural operators can now learn continually without forgetting, thanks to a simple replay strategy that preserves past knowledge while rapidly adapting to new out-of-distribution data.
By explicitly modeling motion with a retina-inspired mechanism, MI-DETR achieves a remarkable +26.35 mAP@50 improvement over the best multi-frame baseline for infrared small target detection.
