cs.CV（2023-11-08）

📊 共 12 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (5 🔗2) 支柱三：空间感知与语义 (Perception & Semantics) (3) 支柱九：具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱五：交互与反应 (Interaction & Reaction) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Social Motion Prediction with Cognitive Hierarchies	提出认知层次框架以解决社会运动预测问题	reinforcement learning imitation learning motion prediction	✅
2	SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification	提出SS-MAE以解决多源遥感图像分类中的空间与光谱特征建模问题	MAE HSI	✅
3	Lightweight Diffusion Models with Distillation-Based Block Neural Architecture Search	提出DiffNAS以解决扩散模型高计算成本问题	distillation
4	CLearViD: Curriculum Learning for Video Description	提出CLearViD以解决视频描述生成中的挑战	curriculum learning
5	Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks	提出少标注学习方法以解决计算机视觉中的图像分类与目标检测问题	representation learning contrastive learning

🔬 支柱三：空间感知与语义 (Perception & Semantics) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
6	LRM: Large Reconstruction Model for Single Image to 3D	提出大型重建模型LRM以实现单图像到3D模型的快速重建	3D reconstruction NeRF neural radiance field
7	Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images	提出一种改进方案以解决无姿态图像的神经辐射场问题	neural radiance field
8	Exploiting Inductive Biases in Video Modeling through Neural CDEs	提出基于控制微分方程的视频建模方法以解决插值和掩码传播问题	optical flow

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

#	题目	一句话要点	标签	🔗	⭐
9	Are foundation models efficient for medical image segmentation?	比较基础模型与自监督学习在医学图像分割中的效率	foundation model
10	NExT-Chat: An LMM for Chat, Detection and Segmentation	提出pix2emb方法以提升多模态理解能力	large language model multimodal visual grounding	✅
11	GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration	提出GCS-ICHNet以解决脑出血预后评估问题	multimodal

🔬 支柱五：交互与反应 (Interaction & Reaction) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
12	General Framework to Evaluate Unlinkability in Biometric Template Protection Systems	提出通用框架以评估生物特征模板保护系统的不可链接性	OMOMO

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