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Ditching the global [CLS] token and embracing patch-level inference unlocks surprising gains in multi-label image recognition, all without training.
Stop segmenting remote sensing images in isolation: modeling inter-unit dependencies boosts open-vocabulary segmentation accuracy by up to 6%.
