传感融合论文趋势 2023–2026
多传感融合
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 161 篇被归入该主题的论文。
主要结论
- 传感融合论文从 2023 年的 17 篇增长到 2026 年的 64 篇，三年间扩大到约 3.8 倍。
- CVPR 是发传感融合论文最多的会议，2023–2026 年共 76 篇，占四个会议总量的 47%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 17 篇。
- 在「边缘与物联网」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的流式推理是 3.2 倍，传感融合是 3.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 6 | 3 | 1 | 7 | 17 |
| 2024 | 7 | 2 | 6 | 22 | 37 |
| 2025 | 21 | 6 | 5 | 11 | 43 |
| 2026 | 9 | 5 | 14 | 36 | 64 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026Beyond Semantic Alignment: Geometric Incomparability in Multi-Oracle Soft Fusion
- ICML 2026Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
- ICLR 2026GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
- CVPR 2026Decoding 3D Perception via BrainSSD Synergistic Fusion of EEG Representations
- NeurIPS 2025Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
- ICML 2025Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
- ICLR 2025Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
- CVPR 2025Binarized Neural Network for Multi-spectral Image Fusion
- NeurIPS 2024Is Your HD Map Constructor Reliable under Sensor Corruptions?
- ICML 2024Predictive Dynamic Fusion
- ICLR 2024Transformer Fusion with Optimal Transport
- CVPR 2024Depth Prompting for Sensor-Agnostic Depth Estimation
- NeurIPS 2023ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
- ICML 2023Regression with Sensor Data Containing Incomplete Observations
- ICLR 2023Dataless Knowledge Fusion by Merging Weights of Language Models
- CVPR 2023CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
- NeurIPS 2026Coherence-Aware Transition-Intent Fusion for LTL Planning under Uncertain Semantic Maps
- ICML 2026Label-Guided Representation Learning for Incomplete Multi-View Multi-Label Classification
- ICLR 2026Knowledge Fusion of Large Language Models via Modular SkillPacks
- CVPR 2026DF2-VB Dual-level Fuzzy Fusion with View-specific Boosting for Multi-view Multi-label
全部传感融合论文
共 14 篇，第 1 / 1 页
- ICML 2026Attentive Multi-Layer Fusion for Vision Transformers
- ICML 2026Beyond Magnitude: Scale-Invariant Evidential Fusion for Multi-View Classification
- ICML 2026Coverage ≠ Exposure: Auditable Control of Same-Support Tail Failures under Multimodal Missingness
- ICML 2026Enhancing Protein-Protein Interaction Prediction with Hierarchical Motif-based Multimodal Protein Embedding
- ICML 2026Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
- ICML 2026Geometry-based Schrödinger Bridges for Trustworthy Multimodal Fusion
- ICML 2026Hamiltonian Asymmetric Fusion: One-Way Safe Directed Refinement under Modality Imbalance
- ICML 2026Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism
- ICML 2026Label-Guided Representation Learning for Incomplete Multi-View Multi-Label Classification
- ICML 2026Model Fusion via Retrofitting
- ICML 2026Multi-timescale Reinforcement Learning by Value Reconstruction
- ICML 2026Robust Multi-View Fusion via Prototype-Anchored Unbalanced Optimal Transport
- ICML 2026Scalable Medical Multimodal Fusion via Symmetric Consistency Modeling
- ICML 2026Solving Spatial-Spectral Fusion with Latent Spectral Operators
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查传感融合在 CVPR 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "sensor-fusion"}
常见问题
- 2023–2026 年四大会议一共有多少篇传感融合论文？
- 共 161 篇，按年份分别是 2023 年 17 篇、2024 年 37 篇、2025 年 43 篇、2026 年 64 篇。
- NeurIPS 2026 有多少篇传感融合论文？
- NeurIPS 2026 有 9 篇传感融合论文，上一届是 21 篇。
- ICLR 2026 有多少篇传感融合论文？
- ICLR 2026 有 5 篇传感融合论文，上一届是 6 篇。
- ICML 2026 有多少篇传感融合论文？
- ICML 2026 有 14 篇传感融合论文，上一届是 5 篇。
- CVPR 2026 有多少篇传感融合论文？
- CVPR 2026 有 36 篇传感融合论文，上一届是 11 篇。
- 哪个会议的传感融合论文最多？
- CVPR，2023–2026 年共 76 篇。