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 3 / 7 页

101. CVPR 2023Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
102. CVPR 2023Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
103. CVPR 2023DisWOT: Student Architecture Search for Distillation WithOut Training
104. CVPR 2023DKM: Dense Kernelized Feature Matching for Geometry Estimation
105. CVPR 2023DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
106. CVPR 2023DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation
107. CVPR 2023DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration
108. CVPR 2023DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks
109. CVPR 2023DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
110. CVPR 2023DynaMask: Dynamic Mask Selection for Instance Segmentation
111. CVPR 2023Dynamic Aggregated Network for Gait Recognition
112. CVPR 2023Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection
113. CVPR 2023Dynamic Focus-Aware Positional Queries for Semantic Segmentation
114. CVPR 2023DynamicDet: A Unified Dynamic Architecture for Object Detection
115. CVPR 2023EC2: Emergent Communication for Embodied Control
116. CVPR 2023EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
117. CVPR 2023Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
118. CVPR 2023EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging
119. CVPR 2023Endpoints Weight Fusion for Class Incremental Semantic Segmentation
120. CVPR 2023Evolved Part Masking for Self-Supervised Learning
121. CVPR 2023EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction
122. CVPR 2023Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields
123. CVPR 2023Explicit Visual Prompting for Low-Level Structure Segmentations
124. CVPR 2023Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
125. CVPR 2023Exploring Data Geometry for Continual Learning
126. CVPR 2023Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers
127. CVPR 2023FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
128. CVPR 2023FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation
129. CVPR 2023FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction
130. CVPR 2023FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures
131. CVPR 2023FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
132. CVPR 2023FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
133. CVPR 2023FlexiViT: One Model for All Patch Sizes
134. CVPR 2023Flow Supervision for Deformable NeRF
135. CVPR 2023FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
136. CVPR 2023Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
137. CVPR 2023Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
138. CVPR 2023GamutMLP: A Lightweight MLP for Color Loss Recovery
139. CVPR 2023Gaussian Label Distribution Learning for Spherical Image Object Detection
140. CVPR 2023Generalizable Local Feature Pre-Training for Deformable Shape Analysis
141. CVPR 2023Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera
142. CVPR 2023Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection
143. CVPR 2023Genie: Show Me the Data for Quantization
144. CVPR 2023GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction
145. CVPR 2023GINA-3D: Learning To Generate Implicit Neural Assets in the Wild
146. CVPR 2023Gloss Attention for Gloss-Free Sign Language Translation
147. CVPR 2023Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
148. CVPR 2023Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
149. CVPR 2023Grid-Guided Neural Radiance Fields for Large Urban Scenes
150. CVPR 2023Ground-Truth Free Meta-Learning for Deep Compressive Sampling

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。