Unverified50% confidenceFactExact time
The patch-based input approach is inspired by the Vision Transformer's idea of dividing images into patches.
1
Sources
50%
Confidence
Long-term
Relevance
9/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQwen3.5多模态版本基于Vision Transformer（ViT）架构处理图像输入，将图像分割为固定大小的patch作为token输入Transformer编码器76% similarVerifiedMultimodal large models use a visual encoder (typically based on a Vision Transformer architecture) to segment input images into patches and encode them as vector sequences, performing joint attention computation with text tokens within the same Transformer architecture.75% similarVerifiedThe Vision Transformer (ViT) was proposed by Google in 2020, dividing images into fixed-size patches as sequence inputs to a Transformer encoder.75% similarUnverifiedMeta's Muse Image adopts a Transformer-based masked generation architecture and has a significant advantage in image generation speed.74% similarVerifiedVision Transformer divides images into 16×16 patches as the basic processing unit.74% similar
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