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Adapting pretrained models on-the-fly to ever-changing data distributions could redefine how we deploy AI in dynamic environments.
Slapping a learnable Gaussian kernel onto ViT self-attention boosts segmentation performance by over 6% on ADE20K, proving that locality still matters for vision.
