CVPR 2026最热方向,被一家杭州团队率先跑进了端侧!
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!
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!
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…
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…
用场景重建生成地图先验,大幅提升3D目标检测精度,CVPR 2026前沿论文。
arXiv:2605.22997v1 Announce Type: new Abstract: In autonomous driving, mapping is critical for motion planning but remains an under-utilized resource …
CVPR 2026新作,提出一种单图像融合方法,同时增强视觉细节与语义信息,为图像处理开辟新路径。
arXiv:2602.01760v2 Announce Type: replace Abstract: This paper focuses on a highly practical scenario: how to continue benefiting from the advantages …
多粒度KV缓存压缩新方法,大幅降低长流视频问答的内存开销,CVPR'26收录,代码开源。
arXiv:2605.22269v1 Announce Type: new Abstract: Long streaming video QA remains challenging due to growing visual tokens and limited reasoning length …
将多模态大语言模型引入细粒度水果识别,通过仲裁机制实现异构集成,大幅提升准确率。
arXiv:2605.20892v1 Announce Type: new Abstract: Fine-grained fruit classification is a critical yet challenging task in agricultural computer vision, …
VLA模型存在动力学盲点?这篇论文提出无需训练的步速与路径校正方法,突破单帧观测局限。
arXiv:2605.11459v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models achieve remarkable flexibility and generalization beyond…