Linum’s Pyramid-JiT matches its image score with far fewer training samples
Linum researchers say a new image-generation architecture matched Linum v2’s final FD-DINOv2 score using 11.3 times fewer training samples. They also report 4.3 times fewer GPU-hours, despite processing four times as many pixels, and have r
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