目标检测论文趋势 2023–2026

主要结论

• 目标检测论文从 2023 年的 485 篇增长到 2026 年的 681 篇，三年间扩大到约 1.4 倍。
• CVPR 是发目标检测论文最多的会议，2023–2026 年共 1,110 篇，占四个会议总量的 40%。
• 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 11 篇增至 2026 年的 39 篇。
• 在「计算机视觉」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的视频理解是 2.6 倍，目标检测是 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 2026A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts
• ICML 2026BPL: Generalizable Deepfake Detection via Bias-only Pair-aware Learning
• ICLR 2026CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detections
• CVPR 20263D-Object Perception Transformer 3PT
• NeurIPS 2025AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
• ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
• ICLR 2025A Statistical Approach for Controlled Training Data Detection
• CVPR 2025A Distractor-Aware Memory for Visual Object Tracking with SAM2
• NeurIPS 2024$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
• ICML 2024Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
• ICLR 2024Boosting Graph Anomaly Detection with Adaptive Message Passing
• CVPR 2024DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking
• NeurIPS 20233D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
• ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
• ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
• CVPR 20232PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
• NeurIPS 2026Auditing Attention Head Masking for Out-of-Distribution Detection: Cross-Architecture Wins, Failures, and Polarity Inversions
• ICML 2026Causal-aware Anomaly Detection for Tabular Data
• ICLR 2026DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts
• CVPR 2026A Closer Look at Cross-Domain Few-Shot Object Detection Fine-Tuning Matters

全部目标检测论文

共 95 篇，第 2 / 2 页

51. ICLR 2026HLD: Approximate Hierarchical Linguistic Distribution Modeling for LLM-Generated Text Detection
52. ICLR 2026ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection
53. ICLR 2026Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
54. ICLR 2026Inlier-Centric Post-Training Quantization for Object Detection Models
55. ICLR 2026Interference-Isolated Elastic Weight Consolidation and Knowledge Calibration for Incremental Object Detection
56. ICLR 2026Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort
57. ICLR 2026Learning From Dictionary: Enhancing Robustness of Machine-Generated Text Detection in Zero-Shot Language via Adversarial Training
58. ICLR 2026Learning Part-Aware Dense 3D Feature Field For Generalizable Articulated Object Manipulation
59. ICLR 2026LINK: Learning Instance-level Knowledge from Vision-Language Models for Human-Object Interaction Detection
60. ICLR 2026Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization
61. ICLR 2026Neural Message-Passing on Attention Graphs for Hallucination Detection
62. ICLR 2026Object Fidelity Diffusion for Remote Sensing Image Generation
63. ICLR 2026OD$^3$: Optimization-free Dataset Distillation for Object Detection
64. ICLR 2026Omni-IML: Towards Unified Interpretable Image Manipulation Localization
65. ICLR 2026OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding
66. ICLR 2026On The Fragility of Benchmark Contamination Detection in Reasoning Models
67. ICLR 2026OrthoRF: Exploring Orthogonality in Object-Centric Representations
68. ICLR 2026OWLEYE: ZERO-SHOT LEARNER FOR CROSSDOMAIN GRAPH DATA ANOMALY DETECTION
69. ICLR 2026PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection
70. ICLR 2026PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly Detection
71. ICLR 2026PIRN: Prototypical-based Intra-modal Reconstruction with Normality Communication for Multi-modal Anomaly Detection.
72. ICLR 2026Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization
73. ICLR 2026PTNET: A PROPOSAL-CENTRIC TRANSFORMER NET- WORK FOR 3D OBJECT DETECTION
74. ICLR 2026ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
75. ICLR 2026Retain and Adapt: Auto-Balanced Model Editing for Open-Vocabulary Object Detection under Domain Shifts
76. ICLR 2026Revisiting Confidence Calibration for Misclassification Detection in VLMs
77. ICLR 2026RF-DETR: Neural Architecture Search for Real-Time Detection Transformers
78. ICLR 2026Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
79. ICLR 2026S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
80. ICLR 2026Self-Guided Low Light Object Detection Framework
81. ICLR 2026SelvaBox: A high‑resolution dataset for tropical tree crown detection
82. ICLR 2026Spilled Energy in Large Language Models
83. ICLR 2026SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection
84. ICLR 2026Topological Anomaly Quantification for Semi-supervised Graph Anomaly Detection
85. ICLR 2026Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
86. ICLR 2026Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
87. ICLR 2026TRACEDET: HALLUCINATION DETECTION FROM THE DECODING TRACE OF DIFFUSION LARGE LANGUAGE MODELS
88. ICLR 2026Trust The Typical
89. ICLR 2026Uncertainty Estimation via Hyperspherical Confidence Mapping
90. ICLR 2026UniOD: A Universal Model for Outlier Detection across Diverse Domains
91. ICLR 2026UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking
92. ICLR 2026Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection
93. ICLR 2026VeriTrail: Closed-Domain Hallucination Detection with Traceability
94. ICLR 2026What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging
95. ICLR 2026When Foundation Models are One-Liners: Limitations and Future Directions for Time Series Anomaly Detection

常见问题

2023–2026 年四大会议一共有多少篇目标检测论文？

共 2,809 篇，按年份分别是 2023 年 485 篇、2024 年 1,072 篇、2025 年 571 篇、2026 年 681 篇。

NeurIPS 2026 有多少篇目标检测论文？

NeurIPS 2026 有 179 篇目标检测论文，上一届是 175 篇。

ICLR 2026 有多少篇目标检测论文？

ICLR 2026 有 95 篇目标检测论文，上一届是 85 篇。

ICML 2026 有多少篇目标检测论文？

ICML 2026 有 121 篇目标检测论文，上一届是 57 篇。

CVPR 2026 有多少篇目标检测论文？

CVPR 2026 有 286 篇目标检测论文，上一届是 254 篇。

哪个会议的目标检测论文最多？

CVPR，2023–2026 年共 1,110 篇。