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By leveraging both UAV and satellite perspectives, SatAgent achieves unprecedented accuracy in spatial reasoning tasks, outperforming existing models by over 25%.
Wildfires don't just burn forests; they measurably degrade internet performance, offering a new lens for understanding disaster impact and resilience.
Noisy labels tank dynamic pruning performance, but AlignPrune's loss-trajectory alignment recovers up to 6.3% accuracy without architecture or training changes.
Stop training your image restoration models to mimic flawed ground truth; instead, explicitly optimize for perceptual quality using a plug-and-play module guided by No-Reference Image Quality Assessment.