cs.CV(2023-10-15)

📊 共 12 篇论文 | 🔗 5 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (3 🔗2) 支柱三:空间感知与语义 (Perception & Semantics) (2 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱六:视频提取与匹配 (Video Extraction) (2 🔗1) 支柱一:机器人控制 (Robot Control) (2 🔗1) 支柱七:动作重定向 (Motion Retargeting) (1)

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

#题目一句话要点标签🔗
1 Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis 评估GPT-4V在多模态医学诊断中的应用潜力 foundation model multimodal
2 New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models 提出KoIn数据集以提升亚洲人脸识别分类性能 foundation model
3 Beyond Segmentation: Road Network Generation with Multi-Modal LLMs 提出多模态大语言模型以解决道路网络生成问题 large language model

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

#题目一句话要点标签🔗
4 CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Poses 提出CBARF以解决不完美相机姿态下的3D重建问题 3D reconstruction NeRF neural radiance field
5 AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation 提出AugUndo以解决单目深度补全与估计中的数据增强问题 monocular depth

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

#题目一句话要点标签🔗
6 ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context 提出ProteusNeRF以解决NeRF交互编辑效率低的问题 distillation NeRF neural radiance field
7 Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation 提出Top-K池化与补丁对比学习以解决弱监督语义分割问题 contrastive learning

🔬 支柱六:视频提取与匹配 (Video Extraction) (2 篇)

#题目一句话要点标签🔗
8 Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship Network 提出类独立关系网络以解决零样本目标视觉导航问题 egocentric
9 OAAFormer: Robust and Efficient Point Cloud Registration Through Overlapping-Aware Attention in Transformer 提出OAAFormer以解决点云配准中的对应关系质量问题 feature matching

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
10 AEP$n$P: A Less-constrained EP$n$P Solver for Pose Estimation with Anisotropic Scaling 提出AEP$n$P以解决物体姿态估计中的约束问题 manipulation
11 Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models 提出无监督学习方法以发现预训练扩散模型中的可解释方向 manipulation

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

#题目一句话要点标签🔗
12 MoEmo Vision Transformer: Integrating Cross-Attention and Movement Vectors in 3D Pose Estimation for HRI Emotion Detection 提出MoEmo Vision Transformer以解决人机交互中的情感检测问题 motion estimation

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