cs.CV(2023-11-09)

📊 共 11 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (7 🔗3) 支柱三:空间感知与语义 (Perception & Semantics) (2) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 Multimodal Foundation Models Exploit Text to Make Medical Image Predictions 提出多模态基础模型以提升医学图像预测准确性 foundation model multimodal
2 LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents 提出LLaVA-Plus以增强多模态助手的工具使用能力 multimodal instruction following
3 Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities 提出Mirasol3B以解决多模态学习中的时间对齐问题 multimodal
4 u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model 提出u-LLaVA以解决多模态任务整合问题 large language model
5 Chain of Images for Intuitively Reasoning 提出链式图像方法以增强逻辑推理能力 large language model multimodal chain-of-thought
6 BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model 提出BrainNetDiff以解决脑网络生成中的多模态数据融合问题 multimodal
7 3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion Models 提出3DStyle-Diffusion以解决3D内容细粒度文本驱动风格化问题 foundation model

🔬 支柱三:空间感知与语义 (Perception & Semantics) (2 篇)

#题目一句话要点标签🔗
8 VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis 提出VoxNeRF以解决室内视图合成中的效率与质量问题 neural radiance field
9 PolyMaX: General Dense Prediction with Mask Transformer 提出PolyMaX以统一密集预测任务并提升性能 depth estimation

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

#题目一句话要点标签🔗
10 Self-similarity Prior Distillation for Unsupervised Remote Physiological Measurement 提出自相似先验蒸馏框架以解决无监督远程生理测量问题 contrastive learning distillation
11 Object-centric Cross-modal Feature Distillation for Event-based Object Detection 提出跨模态目标蒸馏方法以缩小事件摄像头与RGB检测器的性能差距 distillation

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