视觉编码器新思路：利用大语言模型进行分层预训练，提升视觉特征学习效率，CVPR 收录论文值得关注。
arXiv:2604.00086v2 Announce Type: replace-cross Abstract: The field of computer vision has experienced significant advancements through scalable visio…
用大模型对齐技术生成逼真交通场景，自动驾驶仿真数据难题迎来新解法。
arXiv:2606.29097v1 Announce Type: new Abstract: Recent research has investigated the use of large language models (LLMs) to generate traffic scenarios…
CVPR 2026热门方向，杭州团队率先在端侧实现精准定位与实时运动规划，不再“猜坐标”而是选区域。
VLM- R1之后再次出手！全球首个端侧流式多模态来了！
针对MLLMs视觉STEM感知难题，CodePercept创新引入代码接地机制，为多模态理解开辟新路径，已被CVPR2026收录。
arXiv:2603.10757v2 Announce Type: replace Abstract: When MLLMs fail at Science, Technology, Engineering, and Mathematics (STEM) visual reasoning, a fu…
用对抗提示调优与生成破解单域泛化难题，CVPR 2025新思路不容错过。
arXiv:2606.21736v1 Announce Type: new Abstract: Single domain generalization (SDG) aims to learn a robust model, which could perform well on many unse…
用两个词就能表达任意分割掩码，SAM最新变体实现高效语义token化表示。
arXiv:2601.16093v2 Announce Type: replace Abstract: Pixel-wise capabilities are essential for building interactive intelligent systems. However, pixel…
被CVPR 2026接收的3D occupancy通用框架，无需严格约束即可应对复杂城市场景，为自动驾驶感知提供新思路。
arXiv:2603.23502v2 Announce Type: replace Abstract: Relying on in-domain annotations and precise sensor-rig priors, existing 3D occupancy prediction m…
探索目标检测模型的可解释性，聚焦关键区域差异，CVPR 2026 Workshop论文。
arXiv:2606.07503v1 Announce Type: new Abstract: We propose Differences in Detection (DnD), an intuitive method to compare two object detection models.…
让视觉语言模型看懂动作——利用视频扩散模型注入运动信息，提升动态场景理解能力，CVPR 2026接收。
arXiv:2606.06853v1 Announce Type: cross Abstract: The new era has witnessed a remarkable capability to extend Vision-Language Models (VLMs) for tackli…
用视觉基础模型引导注意力一致性，解决纵向医学图像问答难题，CVPR 2026 workshop入选研究。
arXiv:2606.06534v1 Announce Type: cross Abstract: Longitudinal medical visual question answering (VQA) requires reasoning about anatomical differences…
CVPR 2026视频大模型挑战赛新方案：用边际触发问题重仲裁提升回答自一致性，精准优化视频问答可靠性。
arXiv:2606.04323v1 Announce Type: new Abstract: In this report, we present our solution for Track 2 of the CVPR 2026 VidLLMs Challenge. This track eva…
CVPR 2026上，英伟达、特斯拉、Waymo齐聚，听中国公司小鹏分享物理AI新思路，世界模型与VLA路线碰撞。
率先实现物理AI闭环飞轮
提出一种无需额外训练的扩散模型，仅需单张图像即可生成高质量样本，CVPR 2026论文。
arXiv:2606.04299v1 Announce Type: new Abstract: We consider the problem of generating images whose internal structure -- defined by the distribution o…
CVPR 2026 新作：用宽基线匹配技术激发多模态大模型的空间推理潜力，突破复杂场景理解瓶颈。
arXiv:2606.03577v1 Announce Type: new Abstract: Wide-baseline matching (WBM) requires integrating geometric understanding, viewpoint changes, fine-gra…
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…
CVPR 2026最新研究：通过早期Token压缩实现快速视频理解，颠覆传统视频处理效率瓶颈。
arXiv:2605.30010v1 Announce Type: new Abstract: Video large language models (Video-LLMs) have demonstrated strong capabilities in video understanding …
用比特级LLM做轨迹预测，轻量到能塞进边缘设备，CVPR 2026论文。
arXiv:2605.29705v1 Announce Type: new Abstract: Trajectory prediction is a fundamental task for autonomous systems, requiring complex reasoning about …
CVPR 2026录用论文，提出智能体驱动的古代铭文恢复系统，实现精准的破损文字重建。
arXiv:2604.09367v2 Announce Type: replace Abstract: Ancient inscriptions, as repositories of cultural memory, have suffered from centuries of environm…
CVPR EgoVis研讨会CASTLE挑战第4名方案，揭秘AI视觉竞赛中的前沿技术。
arXiv:2605.27800v1 Announce Type: new Abstract: CASTLE 2026 asks 185 multiple-choice questions over 600+ hours of synchronized multi-view egocentric v…
从几何视角理解损失景观中的模型合并，CVPR最新研究揭示关键规律。
arXiv:2605.26693v1 Announce Type: cross Abstract: Model merging offers a promising avenue for knowledge integration and parallel development without r…