cs.CV(2024-02-17)

📊 共 11 篇论文 | 🔗 2 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (4) 支柱三:空间感知与语义 (Perception & Semantics) (3) 支柱二:RL算法与架构 (RL & Architecture) (2 🔗1) 支柱六:视频提取与匹配 (Video Extraction) (1 🔗1) 支柱七:动作重定向 (Motion Retargeting) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗
1 Supporting Experts with a Multimodal Machine-Learning-Based Tool for Human Behavior Analysis of Conversational Videos 提出Providence工具以解决对话视频分析的效率问题 multimodal
2 ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models 提出ChatEarthNet以解决遥感图像理解难题 foundation model
3 CoLLaVO: Crayon Large Language and Vision mOdel 提出CoLLaVO以提升视觉语言模型的对象级图像理解能力 large language model
4 Hand Biometrics in Digital Forensics 提出手部生物特征以解决数字取证中的身份验证问题 multimodal

🔬 支柱三:空间感知与语义 (Perception & Semantics) (3 篇)

#题目一句话要点标签🔗
5 Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review 综述语义感知神经辐射场在视觉场景理解中的应用 NeRF neural radiance field scene understanding
6 Dense Matchers for Dense Tracking 提出多光流结合方法以提升长时间跟踪精度 3D reconstruction optical flow
7 DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model 提出DiffPoint以解决高质量点云重建问题 3D reconstruction

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

#题目一句话要点标签🔗
8 GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation 提出图结构知识蒸馏以解决文档目标检测问题 distillation
9 Learning by Reconstruction Produces Uninformative Features For Perception 揭示重建学习与感知学习之间的失调问题 representation learning masked autoencoder

🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗
10 Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions 提出意图驱动的视觉定位方法以解决传统视觉基础问题 egocentric visual grounding

🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗
11 ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections 提出残差注意力学习方法以增强ViT特征多样性 spatial relationship

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