cs.CV(2024-01-15)

📊 共 14 篇论文 | 🔗 5 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (8 🔗2) 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) (1 🔗1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗
1 MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception 提出MM-SAP基准以评估多模态大语言模型的自我感知能力 large language model multimodal
2 Uncovering the Full Potential of Visual Grounding Methods in VQA 提出改进评估方案以提升视觉基础方法在VQA中的有效性 visual grounding
3 DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI 提出DeepThalamus以解决脑丘脑核自动分割问题 multimodal
4 Foundation Models for Biomedical Image Segmentation: A Survey 综述生物医学图像分割中的基础模型应用与挑战 foundation model
5 Multimodal Crowd Counting with Pix2Pix GANs 提出基于Pix2Pix GAN的多模态人群计数方法以提升准确性 multimodal
6 A Bi-Pyramid Multimodal Fusion Method for the Diagnosis of Bipolar Disorders 提出双金字塔多模态融合方法以改善双相障碍诊断 multimodal
7 One for All: Toward Unified Foundation Models for Earth Vision 提出OFA-Net以解决遥感数据多模态融合问题 foundation model
8 Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification 提出基于Transformer的多模态融合方法以实现高效患者分层 foundation model multimodal

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

#题目一句话要点标签🔗
9 $M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction 提出$M^{2}$Fusion以解决结直肠癌微卫星不稳定性预测问题 representation learning multimodal
10 Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing 提出跨传感器的掩码自编码器以解决遥感图像检索问题 representation learning masked autoencoder MAE
11 Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation 提出图变换器GAN以解决建筑布局生成问题 representation learning spatial relationship
12 Fine-Grained Prototypes Distillation for Few-Shot Object Detection 提出细粒度原型蒸馏以解决少样本目标检测问题 distillation
13 Collaboratively Self-supervised Video Representation Learning for Action Recognition 提出协同自监督视频表示学习框架以提升动作识别性能 representation learning

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
14 MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation 提出MaskClustering以解决开放词汇3D实例分割问题 open-vocabulary open vocabulary

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