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Knowledge transfer among heterogeneous object detectors can yield up to a 2.6 AP improvement, revolutionizing how we approach multi-teacher distillation in AI.
Task-conditioned collaboration outperforms traditional fusion methods, yielding significant performance gains in air-ground perception tasks.
