SigLIP-HD by Fine-to-Coarse Supervision
从粗到细监督实现高效高分辨率视觉表示,SigLIP-HD在处理多模态大模型时兼顾计算效率与细粒度特征。
arXiv:2607.09488v1 Announce Type: new Abstract: High-quality visual representation is a long-standing pursuit in computer vision. In the context of mu…
从粗到细监督实现高效高分辨率视觉表示,SigLIP-HD在处理多模态大模型时兼顾计算效率与细粒度特征。
arXiv:2607.09488v1 Announce Type: new Abstract: High-quality visual representation is a long-standing pursuit in computer vision. In the context of mu…
最新ECCV 2026录用论文,探索如何对预训练视觉Transformer的表示进行可控操作,为视觉AI带来新的灵活性。
arXiv:2604.02327v2 Announce Type: replace Abstract: Pretrained Vision Transformers (ViTs) such as DINOv2 and MAE provide generic image features that c…
医学视觉问答新突破:噪声感知学习提升视觉表示鲁棒性
arXiv:2606.05535v1 Announce Type: cross Abstract: Medical visual question answering (Med-VQA) has strong potential for clinical decision support by en…
无需额外训练,利用视觉表示引导视频大模型推理,实现组合视频检索,CVPR 2026 workshop 最新成果。
arXiv:2606.02321v1 Announce Type: new Abstract: Recent advances in large vision-language models have expanded video retrieval from simple text-based s…