提出Token-Region引导的交叉注意力融合方法，让多模态情感理解更精准
arXiv:2607.23493v1 Announce Type: new Abstract: Automated analysis of multimodal content on social networks has become a critical task for understandi…
提出时间感知交叉注意力机制，提升纵向多模态阿尔茨海默病诊断精度，AI医疗前沿突破。
arXiv:2607.07091v1 Announce Type: cross Abstract: In longitudinal Alzheimer's disease (AD) diagnosis support, clinical and imaging information is ofte…
用极线距离给交叉注意力加掩码，卫星图像匹配精度迎来新突破
arXiv:2603.21463v2 Announce Type: replace Abstract: The deep-learning based image matching networks can now handle significantly larger variations in …
语音转文本模型中的交叉注意力并非完整解释，揭示其局限与真正作用机制
arXiv:2509.18010v2 Announce Type: replace-cross Abstract: Cross-attention is a core mechanism in encoder-decoder architectures, widespread in many fie…
创新双交叉注意力孪生Transformer，精准评估直肠肿瘤再生长，助力Watch-and-Wait内窥镜决策
arXiv:2512.03883v3 Announce Type: replace Abstract: Increasing evidence supports watch-and-wait (WW) surveillance for patients with rectal cancer who …
融合布局几何与网表拓扑，跨注意力机制精准预测标准单元性能，加速芯片设计流程。
arXiv:2605.20287v1 Announce Type: new Abstract: Standard cells form the building blocks of digital circuits, so their delay and power critically influ…
提出跨注意力多模态融合方法，有效提升Deepfake视频检测的准确性与鲁棒性。
arXiv:2605.17133v1 Announce Type: new Abstract: The rapid advancement of Deepfake technologies and video manipulation tools poses a critical challenge…