PaceShift adds guarded curriculum training for dense prediction
The method keeps the deployed architecture unchanged and adds no inference computation; code is not yet public.
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The method keeps the deployed architecture unchanged and adds no inference computation; code is not yet public.
GTR introduces a softmax-free recurrent vision backbone reaching 58.9 box AP on COCO with sub-2ms latency, targeting high-resolution dense prediction and edge deployment.
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