cs.CV(2024-01-19)
📊 共 16 篇论文 | 🔗 4 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (5 🔗2)
支柱三:空间感知与语义 (Perception & Semantics) (5 🔗1)
支柱二:RL算法与架构 (RL & Architecture) (3)
支柱五:交互与反应 (Interaction & Reaction) (1)
支柱八:物理动画 (Physics-based Animation) (1)
支柱一:机器人控制 (Robot Control) (1 🔗1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning | 提出MLLM-Tool以解决多模态工具使用理解问题 | large language model multimodal | ✅ | |
| 2 | Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences | 提出Mementos基准以解决多模态大语言模型的图像序列推理问题 | large language model multimodal | ✅ | |
| 3 | Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering | 提出弱监督高斯对比定位以解决视频问答中的关键时刻识别问题 | multimodal TAMP | ||
| 4 | PhotoBot: Reference-Guided Interactive Photography via Natural Language | 提出PhotoBot以解决自动摄影中的人机交互问题 | large language model | ||
| 5 | Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection | 提出粗到细的融合策略以解决RGB-红外物体检测中的冗余信息问题 | multimodal |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data | 提出Depth Anything以解决单目深度估计问题 | depth estimation monocular depth metric depth | ✅ | |
| 7 | Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue | 通过激光雷达实现腹腔组织的高精度3D重建 | 3D reconstruction penetration | ||
| 8 | Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning | 提出运动一致性损失以提升单目视觉里程计性能 | visual odometry | ||
| 9 | Helmholtz-Decomposition and Optical Flow: A new method to characterize GCamP recordings | 提出基于Helmholtz分解与光流的新方法以分析GCamP记录 | optical flow | ||
| 10 | 360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network | 提出360ORB-SLAM以解决传统vSLAM系统的深度信息不足问题 | visual SLAM |
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 11 | Enhancing medical vision-language contrastive learning via inter-matching relation modelling | 提出关系增强对比学习框架以提升医学图像表示能力 | representation learning contrastive learning | ||
| 12 | HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation | 提出HiCD以解决低质量图像对的变化检测问题 | distillation | ||
| 13 | On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss | 提出地理余弦相似损失以解决CLIP引导图像变形的稳定性与可塑性困境 | distillation |
🔬 支柱五:交互与反应 (Interaction & Reaction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | ActAnywhere: Subject-Aware Video Background Generation | 提出ActAnywhere以解决视频背景生成问题 | human-scene interaction |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 15 | Understanding Video Transformers via Universal Concept Discovery | 提出视频变换器概念发现算法以解决可解释性问题 | spatiotemporal |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 16 | Path Choice Matters for Clear Attribution in Path Methods | 提出集中原则与SAMP以解决路径选择导致的归因模糊问题 | manipulation | ✅ |