cs.CV(2023-12-12)

📊 共 5 篇论文 | 🔗 1 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (2 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (2) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗
1 LMDrive: Closed-Loop End-to-End Driving with Large Language Models LMDrive:提出基于大语言模型的端到端闭环自动驾驶框架,实现语言引导的自主驾驶。 large language model instruction following
2 Interfacing Foundation Models' Embeddings 提出FIND:统一接口对齐多模态基础模型嵌入,实现跨任务理解 foundation model

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

#题目一句话要点标签🔗
3 CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor 提出基于CLIP的循环分割框架,无需训练即可分割海量视觉概念 open-vocabulary open vocabulary
4 Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection 提出Adversarial-LCD,针对图结构回环检测的黑盒对抗攻击框架 visual SLAM

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
5 Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment Retrieval 提出基于非对称协同注意力网络的跨模态对比学习方法,用于视频片段检索。 representation learning contrastive learning

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