SpiralFovea is a parameter-free input-adaptive tokenization method that replaces fixed ViT grids with entropy-driven multi-scale spiral patches, delivering 1.7-2.1 pp accuracy gains and 60% fewer tokens on fine-grained benchmarks.
Emerging Properties in Self-Supervised Vision Transformers , booktitle =
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An explanatory book that supplies a clear mental map and intuition for how Vision-Language Models combine vision and language capabilities.
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From Pixels to Prompts: Vision-Language Models
An explanatory book that supplies a clear mental map and intuition for how Vision-Language Models combine vision and language capabilities.