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Distilling multi-pass top-down keypoint detection into a single full-image forward pass breaks the latency bottleneck of generalist vision models while securing 53.1 PQ on COCO panoptic segmentation.
Get up to 20% faster ViT inference by hot-swapping certain attention heads for depthwise convolutions – without tanking accuracy.