cs.CV(2025-04-09)

📊 共 7 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱三:空间感知与语义 (Perception & Semantics) (1 🔗1) 支柱一:机器人控制 (Robot Control) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
1 Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging Zeus:面向多模态医学影像联合分割的零样本LLM指令学习框架 large language model multimodal
2 Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning Face-LLaVA:通过指令微调实现面部表情和属性理解的多模态大语言模型 large language model multimodal
3 Are We Done with Object-Centric Learning? 利用分割模型实现目标中心化学习,并提出OCCAM探究其泛化能力 foundation model

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
4 Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer 提出PEKA框架,通过参数高效的知识迁移,提升病理图像基因表达预测精度。 distillation foundation model
5 Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection 提出基于嵌入边信息的广义语义对比学习,用于小样本目标检测 representation learning contrastive learning

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

#题目一句话要点标签🔗
6 FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution FlashDepth:实时2K分辨率流视频深度估计 depth estimation

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
7 Perception in Reflection 提出反射感知(RePer)框架,提升大型视觉语言模型(LVLMs)的感知能力。 manipulation multimodal

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