cs.CV(2023-11-07)
📊 共 21 篇论文 | 🔗 4 篇有代码
🎯 兴趣领域导航
支柱三:空间感知与语义 (Perception & Semantics) (7)
支柱二:RL算法与架构 (RL & Architecture) (6 🔗1)
支柱九:具身大模型 (Embodied Foundation Models) (6 🔗2)
支柱五:交互与反应 (Interaction & Reaction) (1 🔗1)
支柱七:动作重定向 (Motion Retargeting) (1)
🔬 支柱三:空间感知与语义 (Perception & Semantics) (7 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | High-fidelity 3D Reconstruction of Plants using Neural Radiance Field | 利用神经辐射场实现植物高保真3D重建 | 3D reconstruction NeRF neural radiance field | ||
| 2 | Analysis of NaN Divergence in Training Monocular Depth Estimation Model | 分析NaN损失以提升单目深度估计模型训练稳定性 | depth estimation monocular depth | ||
| 3 | UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields | 提出UP-NeRF以解决无约束图像下的NeRF优化问题 | NeRF neural radiance field | ||
| 4 | Fast Sun-aligned Outdoor Scene Relighting based on TensoRF | 提出SR-TensoRF以解决户外场景重光照问题 | NeRF neural radiance field | ||
| 5 | Meta-Adapter: An Online Few-shot Learner for Vision-Language Model | 提出Meta-Adapter以解决CLIP在少样本学习中的在线适应问题 | open-vocabulary open vocabulary | ||
| 6 | DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding | 提出DeepPatent2以解决技术图纸理解数据不足问题 | 3D reconstruction | ||
| 7 | Dual-Stream Attention Transformers for Sewer Defect Classification | 提出双流多尺度视觉变换器以解决污水管道缺陷分类问题 | optical flow |
🔬 支柱二:RL算法与架构 (RL & Architecture) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Random Field Augmentations for Self-Supervised Representation Learning | 提出基于高斯随机场的局部变换以增强自监督表示学习 | representation learning | ||
| 9 | ADFactory: An Effective Framework for Generalizing Optical Flow with Nerf | 提出自动数据工厂框架以解决光流泛化问题 | flow matching NeRF optical flow | ||
| 10 | Multimodal deep representation learning for quantum cross-platform verification | 提出多模态深度表示学习以解决量子跨平台验证问题 | representation learning multimodal | ||
| 11 | Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization | 提出Self-MI以解决多模态融合中的信息捕获问题 | representation learning multimodal | ||
| 12 | Multi-Scale Distillation for RGB-D Anomaly Detection on the PD-REAL Dataset | 提出PD-REAL数据集及多尺度蒸馏框架以提升RGB-D异常检测性能 | distillation multimodal | ✅ | |
| 13 | Supervised domain adaptation for building extraction from off-nadir aerial images | 提出监督域适应方法以解决建筑提取中的标签不对齐问题 | teacher-student distillation |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 14 | Selective Visual Representations Improve Convergence and Generalization for Embodied AI | 提出选择性视觉表征以提升具身AI的收敛性与泛化能力 | embodied AI | ||
| 15 | ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations | 提出ETDPC框架以解决电子论文页面分类问题 | multimodal | ✅ | |
| 16 | mmFUSION: Multimodal Fusion for 3D Objects Detection | 提出mmFUSION以解决多模态融合在3D物体检测中的挑战 | multimodal | ||
| 17 | Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining | 提出生成负样本挖掘以提升多模态组合推理能力 | multimodal | ✅ | |
| 18 | Can CLIP Help Sound Source Localization? | 提出CLIP模型以解决声源定位问题 | multimodal | ||
| 19 | Exploring Dataset-Scale Indicators of Data Quality | 提出数据集规模指标以提升计算机视觉数据质量 | foundation model |
🔬 支柱五:交互与反应 (Interaction & Reaction) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 20 | Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models | 提出UniHOI以解决开放世界人机交互检测问题 | human-object interaction HOI large language model | ✅ |
🔬 支柱七:动作重定向 (Motion Retargeting) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 21 | OtterHD: A High-Resolution Multi-modality Model | 提出OtterHD以解决高分辨率视觉输入解析问题 | spatial relationship multimodal |