语义解析论文趋势 2023–2026

主要结论

• 语义解析论文从 2023 年的 58 篇增长到 2026 年的 79 篇，三年间扩大到约 1.4 倍。
• CVPR 是发语义解析论文最多的会议，2023–2026 年共 117 篇，占四个会议总量的 51%。
• 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 2 篇增至 2026 年的 20 篇。
• 在「神经符号」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的数学推理是 10 倍，语义解析是 1.4 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 2026ASQ: Agent-guided Semantic-aware Quantization for Large Language Models
• ICML 2026CURE: Consistency-under-Unified Semantic Regularization for Generalized Category Discovery
• ICLR 2026vCache: Verified Semantic Prompt Caching
• CVPR 2026AdaSFormer Adaptive Serialized Transformers for Monocular Semantic Scene Completion from
• NeurIPS 2025A Semantic Parsing Framework for End-to-End Time Normalization
• ICML 2025HashAttention: Semantic Sparsity for Faster Inference
• ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
• CVPR 2025DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
• NeurIPS 2024AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
• ICML 2024Language Models as Semantic Indexers
• ICLR 2024A Semantic Invariant Robust Watermark for Large Language Models
• CVPR 2024EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting
• NeurIPS 2023BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
• ICML 2023Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
• ICLR 2023Compositional Law Parsing with Latent Random Functions
• CVPR 2023GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning
• NeurIPS 2026Bandits via Additive Quantized Representations
• ICML 2026Learning Sparse Visual Representations via Spatial-Semantic Factorization
• ICLR 2026Cache-to-Cache: Direct Semantic Communication Between Large Language Models
• CVPR 2026GeoSURGE Geo-localization using Semantic Fusion with Hierarchy of Geographic Embeddings

全部语义解析论文

共 37 篇，第 1 / 1 页

1. CVPR 2023A Simple Framework for Text-Supervised Semantic Segmentation
2. CVPR 2023A Strong Baseline for Generalized Few-Shot Semantic Segmentation
3. CVPR 2023Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
4. CVPR 2023Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation
5. CVPR 2023Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations
6. CVPR 2023Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains
7. CVPR 2023Delivering Arbitrary-Modal Semantic Segmentation
8. CVPR 2023Dionysus: Recovering Scene Structures by Dividing Into Semantic Pieces
9. CVPR 2023Endpoints Weight Fusion for Class Incremental Semantic Segmentation
10. CVPR 2023Federated Incremental Semantic Segmentation
11. CVPR 2023GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning
12. CVPR 2023Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images
13. CVPR 2023GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
14. CVPR 2023Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection
15. CVPR 2023LaserMix for Semi-Supervised LiDAR Semantic Segmentation
16. CVPR 2023Learning Debiased Representations via Conditional Attribute Interpolation
17. CVPR 2023Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
18. CVPR 2023Learning Geometry-Aware Representations by Sketching
19. CVPR 2023Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space
20. CVPR 2023Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
21. CVPR 2023Neural Congealing: Aligning Images to a Joint Semantic Atlas
22. CVPR 2023Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask
23. CVPR 2023PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation
24. CVPR 2023Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
25. CVPR 2023Reliability in Semantic Segmentation: Are We on the Right Track?
26. CVPR 2023RILS: Masked Visual Reconstruction in Language Semantic Space
27. CVPR 2023SCPNet: Semantic Scene Completion on Point Cloud
28. CVPR 2023Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains
29. CVPR 2023Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention
30. CVPR 2023Semantic Scene Completion With Cleaner Self
31. CVPR 2023STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
32. CVPR 2023StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping
33. CVPR 2023Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
34. CVPR 2023Transformer Scale Gate for Semantic Segmentation
35. CVPR 2023Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms
36. CVPR 2023VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
37. CVPR 2023VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion

常见问题

2023–2026 年四大会议一共有多少篇语义解析论文？

共 230 篇，按年份分别是 2023 年 58 篇、2024 年 53 篇、2025 年 40 篇、2026 年 79 篇。

NeurIPS 2026 有多少篇语义解析论文？

NeurIPS 2026 有 28 篇语义解析论文，上一届是 12 篇。

ICLR 2026 有多少篇语义解析论文？

ICLR 2026 有 9 篇语义解析论文，上一届是 5 篇。

ICML 2026 有多少篇语义解析论文？

ICML 2026 有 12 篇语义解析论文，上一届是 4 篇。

CVPR 2026 有多少篇语义解析论文？

CVPR 2026 有 30 篇语义解析论文，上一届是 19 篇。

哪个会议的语义解析论文最多？

CVPR，2023–2026 年共 117 篇。