cs.CV(2024-01-18)
📊 共 21 篇论文 | 🔗 6 篇有代码
🎯 兴趣领域导航
支柱二:RL算法与架构 (RL & Architecture) (7 🔗3)
支柱九:具身大模型 (Embodied Foundation Models) (6 🔗1)
支柱三:空间感知与语义 (Perception & Semantics) (5 🔗2)
支柱一:机器人控制 (Robot Control) (1)
支柱六:视频提取与匹配 (Video Extraction) (1)
支柱七:动作重定向 (Motion Retargeting) (1)
🔬 支柱二:RL算法与架构 (RL & Architecture) (7 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Veagle: Advancements in Multimodal Representation Learning | 提出Veagle以提升多模态表示学习能力 | representation learning large language model multimodal | ||
| 2 | WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens | 提出WorldDreamer以解决通用世界模型在视频生成中的局限性 | world model world models dreamer | ||
| 3 | VMamba: Visual State Space Model | 提出VMamba以解决计算机视觉中的网络架构效率问题 | Mamba state space model | ✅ | |
| 4 | P2Seg: Pointly-supervised Segmentation via Mutual Distillation | 提出P2Seg以解决点级监督实例分割中的边界预测问题 | distillation semantic map MDM | ||
| 5 | Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation | 提出QA-CLIMS框架以解决弱监督语义分割中的激活不足问题 | contrastive learning open-vocabulary open vocabulary | ✅ | |
| 6 | CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly Supervised Text-based Person Retrieval | 提出CPCL以解决弱监督文本基础的人物检索问题 | contrastive learning | ||
| 7 | MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection | 提出MAMBA以解决视频目标检测中的内存结构效率问题 | Mamba | ✅ |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Temporal Insight Enhancement: Mitigating Temporal Hallucination in Multimodal Large Language Models | 提出一种新方法以解决多模态大语言模型中的时间幻觉问题 | large language model multimodal TAMP | ||
| 9 | Towards Language-Driven Video Inpainting via Multimodal Large Language Models | 提出语言驱动的视频修复方法以解决传统方法的局限性 | large language model multimodal | ||
| 10 | SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model | 提出SkyEyeGPT以解决遥感视觉-语言理解问题 | large language model instruction following visual grounding | ✅ | |
| 11 | Supervised Fine-tuning in turn Improves Visual Foundation Models | 提出ViSFT方法以提升视觉基础模型的性能 | foundation model | ||
| 12 | Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation | 提出显式推理与视觉问题生成的多模态模型以提升视觉理解能力 | large language model chain-of-thought | ||
| 13 | Improving fine-grained understanding in image-text pre-training | 提出SPARC以解决图像-文本预训练中的细粒度理解问题 | multimodal |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | GaussianBody: Clothed Human Reconstruction via 3d Gaussian Splatting | 提出GaussianBody以解决动态人类重建问题 | 3D gaussian splatting gaussian splatting splatting | ||
| 15 | Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation | 提出实例布朗桥模型以解决开放词汇视频实例分割问题 | open-vocabulary open vocabulary | ||
| 16 | OMG-Seg: Is One Model Good Enough For All Segmentation? | 提出OMG-Seg以解决多种分割任务的统一建模问题 | open-vocabulary open vocabulary | ✅ | |
| 17 | DDM: A Metric for Comparing 3D Shapes Using Directional Distance Fields | 提出DDM以解决3D形状比较中的效率与有效性问题 | implicit representation scene flow | ✅ | |
| 18 | BPDO:Boundary Points Dynamic Optimization for Arbitrary Shape Scene Text Detection | 提出边界点动态优化方法以解决任意形状场景文本检测问题 | scene understanding |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 19 | ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions | 提出ParaHome系统以捕捉家庭环境中的人机交互动态 | manipulation dexterous hand human-object interaction |
🔬 支柱六:视频提取与匹配 (Video Extraction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 20 | GPT4Ego: Unleashing the Potential of Pre-trained Models for Zero-Shot Egocentric Action Recognition | 提出GPT4Ego以解决零样本自我中心动作识别问题 | egocentric |
🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 21 | DataViz3D: An Novel Method Leveraging Online Holographic Modeling for Extensive Dataset Preprocessing and Visualization | 提出DataViz3D以解决复杂数据集可视化问题 | spatial relationship |