cs.CV(2025-09-21)

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支柱二:RL算法与架构 (RL & Architecture) (3) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
1 ME-Mamba: Multi-Expert Mamba with Efficient Knowledge Capture and Fusion for Multimodal Survival Analysis 提出ME-Mamba,用于高效融合病理图像和基因组数据的多模态生存分析。 Mamba multimodal
2 PRISM: Precision-Recall Informed Data-Free Knowledge Distillation via Generative Diffusion PRISM:通过生成扩散模型实现精确率-召回率指导的无数据知识蒸馏 distillation
3 Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning 提出CoMTIP,用于空间转录组学中基于对比掩码文本-图像预训练的表征学习。 representation learning

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
4 ConfidentSplat: Confidence-Weighted Depth Fusion for Accurate 3D Gaussian Splatting SLAM ConfidentSplat:置信度加权深度融合的精确3D高斯溅射SLAM visual SLAM depth estimation 3D gaussian splatting

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