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Found 2 papers, 2 papers with code
Graphic Design with Large Multimodal Model
One existing practice is Graphic Layout Generation (GLG), which aims to layout sequential design elements.
Fully Attentional Networks with Self-emerging Token Labeling
With the proposed STL framework, our best model based on FAN-L-Hybrid (77. 3M parameters) achieves 84. 8% Top-1 accuracy and 42. 1% mCE on ImageNet-1K and ImageNet-C, and sets a new state-of-the-art for ImageNet-A (46. 1%) and ImageNet-R (56. 6%) without using extra data, outperforming the original FAN counterpart by significant margins.
Ranked #16 on
Domain Generalization
on ImageNet-C
