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A new RGB-T dataset and frequency-aware network exposes the surprising limitations of existing UAV detectors when faced with real-world camouflage and complex backgrounds.
Dataset distillation gets a boost on long-tailed data with CSDM, which uses spectral distribution matching to prioritize realism in tail classes and achieves a 14% improvement over SOTA methods.
