ViT也能开口说话？全新生成式语言-图像预训练框架，让视觉与语言深度融合！
arXiv:2605.00809v2 Announce Type: replace Abstract: In this paper, we present \textbf{Gen}erative \textbf{L}anguage-\textbf{I}mage \textbf{P}re-traini…
只需整数运算的视觉Transformer，快速语义分割无需浮点，部署更高效。
arXiv:2509.10334v2 Announce Type: replace-cross Abstract: Vision Transformers (ViTs) have recently achieved strong results in semantic segmentation, y…
将双曲几何融入ViT，打造紧凑架构，为低数据医学影像带来新思路
arXiv:2606.00906v1 Announce Type: new Abstract: Compact Vision Transformers are attractive for medical imaging in low-data and resource-constrained se…
无需额外训练，即可让预训练ViT弹性适配不同计算约束，实现高效推理与精度平衡的创新方法。
arXiv:2510.17700v2 Announce Type: replace Abstract: Vision foundation models achieve remarkable performance but are only available in a limited set of…