域适应论文趋势 2023–2026

主要结论

• 域适应论文从 2023 年的 174 篇增长到 2026 年的 263 篇，三年间扩大到约 1.5 倍。
• CVPR 是发域适应论文最多的会议，2023–2026 年共 268 篇，占四个会议总量的 31%。
• 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 7 篇增至 2026 年的 38 篇。
• 在「元学习与迁移」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的基础模型适配是 3.8 倍，域适应是 1.5 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 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
• ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
• ICLR 2026Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation
• CVPR 2026Anatomical Domain Shifts Test-time Heterogeneous Adaptation for 3D Human Pose
• NeurIPS 20253DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
• ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
• ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
• CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
• NeurIPS 2024A Cross-Domain Benchmark for Active Learning
• ICML 2024Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
• ICLR 2024Adapting Large Language Models via Reading Comprehension
• CVPR 2024Day-Night Cross-domain Vehicle Re-identification
• NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
• ICML 2023In Search for a Generalizable Method for Source Free Domain Adaptation
• ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
• CVPR 2023A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
• NeurIPS 2026A unified pairwise distribution matching framework for graph domain adaptation under structure shift
• ICML 2026Content-Style Identification via Differential Independence
• ICLR 2026Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
• CVPR 2026Bridge Basis-Driven Causal Inference Marries VFMs for Domain Generalization

全部域适应论文

共 87 篇，第 2 / 2 页

51. CVPR 2023Learning Adaptive Dense Event Stereo From the Image Domain
52. CVPR 2023Masked Representation Learning for Domain Generalized Stereo Matching
53. CVPR 2023Meta-Causal Learning for Single Domain Generalization
54. CVPR 2023MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
55. CVPR 2023MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
56. CVPR 2023Modality-Agnostic Debiasing for Single Domain Generalization
57. CVPR 2023Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
58. CVPR 2023MOT: Masked Optimal Transport for Partial Domain Adaptation
59. CVPR 2023Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
60. CVPR 2023NICO++: Towards Better Benchmarking for Domain Generalization
61. CVPR 2023Object Detection With Self-Supervised Scene Adaptation
62. CVPR 2023OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation
63. CVPR 2023Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
64. CVPR 2023ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
65. CVPR 2023Progressive Random Convolutions for Single Domain Generalization
66. CVPR 2023Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
67. CVPR 2023Rethinking Federated Learning With Domain Shift: A Prototype View
68. CVPR 2023Revisiting Prototypical Network for Cross Domain Few-Shot Learning
69. CVPR 2023ScarceNet: Animal Pose Estimation With Scarce Annotations
70. CVPR 2023SCoDA: Domain Adaptive Shape Completion for Real Scans
71. CVPR 2023SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
72. CVPR 2023Semi-Supervised Domain Adaptation With Source Label Adaptation
73. CVPR 2023Sharpness-Aware Gradient Matching for Domain Generalization
74. CVPR 2023Single Domain Generalization for LiDAR Semantic Segmentation
75. CVPR 2023Source-Free Adaptive Gaze Estimation by Uncertainty Reduction
76. CVPR 2023Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning
77. CVPR 2023Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation
78. CVPR 2023Style Projected Clustering for Domain Generalized Semantic Segmentation
79. CVPR 2023StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
80. CVPR 2023TIPI: Test Time Adaptation With Transformation Invariance
81. CVPR 2023Towards Professional Level Crowd Annotation of Expert Domain Data
82. CVPR 2023TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
83. CVPR 2023UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration
84. CVPR 2023Unsupervised Continual Semantic Adaptation Through Neural Rendering
85. CVPR 2023Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
86. CVPR 2023Upcycling Models Under Domain and Category Shift
87. CVPR 2023Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning

常见问题

2023–2026 年四大会议一共有多少篇域适应论文？

共 866 篇，按年份分别是 2023 年 174 篇、2024 年 209 篇、2025 年 220 篇、2026 年 263 篇。

NeurIPS 2026 有多少篇域适应论文？

NeurIPS 2026 有 78 篇域适应论文，上一届是 81 篇。

ICLR 2026 有多少篇域适应论文？

ICLR 2026 有 46 篇域适应论文，上一届是 45 篇。

ICML 2026 有多少篇域适应论文？

ICML 2026 有 69 篇域适应论文，上一届是 48 篇。

CVPR 2026 有多少篇域适应论文？

CVPR 2026 有 70 篇域适应论文，上一届是 46 篇。

哪个会议的域适应论文最多？

CVPR，2023–2026 年共 268 篇。