驾驶仿真论文趋势 2023–2026

主要结论

• 驾驶仿真论文从 2023 年的 969 篇增长到 2026 年的 2,200 篇，三年间扩大到约 2.3 倍。
• NeurIPS 是发驾驶仿真论文最多的会议，2023–2026 年共 2,111 篇，占四个会议总量的 36%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 27 篇增至 2026 年的 205 篇。
• 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的运动规划是 2.4 倍，驾驶仿真是 2.3 倍。

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 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
• ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
• ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
• CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
• NeurIPS 2025A compressive-expressive communication framework for compositional representations
• ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
• ICLR 2025A Truncated Newton Method for Optimal Transport
• CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
• NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
• ICML 2024$H$-Consistency Guarantees for Regression
• ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
• CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
• NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
• ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
• ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
• CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
• NeurIPS 2026A Bitter Lesson for Data Filtering
• ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
• ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
• CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for

全部驾驶仿真论文

共 350 篇，第 2 / 7 页

51. CVPR 2023BioNet: A Biologically-Inspired Network for Face Recognition
52. CVPR 2023Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization
53. CVPR 2023BITE: Beyond Priors for Improved Three-D Dog Pose Estimation
54. CVPR 2023BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
55. CVPR 2023Block Selection Method for Using Feature Norm in Out-of-Distribution Detection
56. CVPR 2023Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images
57. CVPR 2023Boosting Verified Training for Robust Image Classifications via Abstraction
58. CVPR 2023Bridging Search Region Interaction With Template for RGB-T Tracking
59. CVPR 2023Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild
60. CVPR 2023Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds
61. CVPR 2023Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization
62. CVPR 2023Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
63. CVPR 2023CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
64. CVPR 2023Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
65. CVPR 2023Class-Incremental Exemplar Compression for Class-Incremental Learning
66. CVPR 2023CLIP the Gap: A Single Domain Generalization Approach for Object Detection
67. CVPR 2023Clothing-Change Feature Augmentation for Person Re-Identification
68. CVPR 2023Co-Training 2L Submodels for Visual Recognition
69. CVPR 2023CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
70. CVPR 2023Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation
71. CVPR 2023Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
72. CVPR 2023ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
73. CVPR 2023Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking
74. CVPR 2023Continual Detection Transformer for Incremental Object Detection
75. CVPR 2023Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation
76. CVPR 2023Controllable Light Diffusion for Portraits
77. CVPR 2023CP3: Channel Pruning Plug-In for Point-Based Networks
78. CVPR 2023CRAFT: Concept Recursive Activation FacTorization for Explainability
79. CVPR 2023Critical Learning Periods for Multisensory Integration in Deep Networks
80. CVPR 2023Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
81. CVPR 2023DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer
82. CVPR 2023Data-Driven Feature Tracking for Event Cameras
83. CVPR 2023Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
84. CVPR 2023Decoupled Multimodal Distilling for Emotion Recognition
85. CVPR 2023Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains
86. CVPR 2023Decoupling MaxLogit for Out-of-Distribution Detection
87. CVPR 2023DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting
88. CVPR 2023Deformable Mesh Transformer for 3D Human Mesh Recovery
89. CVPR 2023Dense Network Expansion for Class Incremental Learning
90. CVPR 2023Differentiable Shadow Mapping for Efficient Inverse Graphics
91. CVPR 2023Difficulty-Based Sampling for Debiased Contrastive Representation Learning
92. CVPR 2023DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
93. CVPR 2023DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction
94. CVPR 2023DIP: Dual Incongruity Perceiving Network for Sarcasm Detection
95. CVPR 2023DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
96. CVPR 2023Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
97. CVPR 2023Discriminator-Cooperated Feature Map Distillation for GAN Compression
98. CVPR 2023Disentangled Representation Learning for Unsupervised Neural Quantization
99. CVPR 2023Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness
100. CVPR 2023Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition

常见问题

2023–2026 年四大会议一共有多少篇驾驶仿真论文？

共 5,882 篇，按年份分别是 2023 年 969 篇、2024 年 1,308 篇、2025 年 1,405 篇、2026 年 2,200 篇。

NeurIPS 2026 有多少篇驾驶仿真论文？

NeurIPS 2026 有 940 篇驾驶仿真论文，上一届是 542 篇。

ICLR 2026 有多少篇驾驶仿真论文？

ICLR 2026 有 313 篇驾驶仿真论文，上一届是 228 篇。

ICML 2026 有多少篇驾驶仿真论文？

ICML 2026 有 363 篇驾驶仿真论文，上一届是 275 篇。

CVPR 2026 有多少篇驾驶仿真论文？

CVPR 2026 有 584 篇驾驶仿真论文，上一届是 360 篇。

哪个会议的驾驶仿真论文最多？

NeurIPS，2023–2026 年共 2,111 篇。