cs.CV(2024-02-23)
📊 共 10 篇论文 | 🔗 4 篇有代码
🎯 兴趣领域导航
支柱二:RL算法与架构 (RL & Architecture) (6 🔗1)
支柱九:具身大模型 (Embodied Foundation Models) (2 🔗2)
支柱四:生成式动作 (Generative Motion) (1)
支柱三:空间感知与语义 (Perception & Semantics) (1 🔗1)
🔬 支柱二:RL算法与架构 (RL & Architecture) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | CI w/o TN: Context Injection without Task Name for Procedure Planning | 提出无任务名称的上下文注入方法以解决程序规划问题 | contrastive learning large language model foundation model | ||
| 2 | MambaIR: A Simple Baseline for Image Restoration with State-Space Model | 提出MambaIR以解决图像恢复中的局部遗忘与通道冗余问题 | Mamba state space model | ✅ | |
| 3 | State Space Models for Event Cameras | 提出状态空间模型以解决事件相机数据处理的频率适应问题 | SSM state space model | ||
| 4 | Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving | 提出Cohere3D以解决自动驾驶中多帧输入的实例表示学习问题 | representation learning contrastive learning | ||
| 5 | Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning | 提出无监督领域适应方法以改善脑血管分割 | predictive model contrastive learning | ||
| 6 | Attention-Guided Masked Autoencoders For Learning Image Representations | 提出注意力引导的掩码自编码器以提升图像表示学习 | masked autoencoder MAE |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Large Multimodal Agents: A Survey | 系统评估大规模多模态智能体以应对复杂任务 | large language model multimodal | ✅ | |
| 8 | Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding | 提出CLIP引导解码方法以减轻大规模视觉语言模型的幻觉问题 | visual grounding | ✅ |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 9 | Seamless Human Motion Composition with Blended Positional Encodings | 提出FlowMDM以解决连续人类动作生成问题 | motion generation human motion human motion generation |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding | 举办OpenSUN3D挑战赛以推动开放词汇3D场景理解研究 | scene understanding open-vocabulary open vocabulary | ✅ |