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 32 篇，第 1 / 1 页

1. ICML 2023ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
2. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
3. ICML 2023Bayesian online change point detection with Hilbert space approximate Student-t process
4. ICML 2023Deep Anomaly Detection under Labeling Budget Constraints
5. ICML 2023Delving into Noisy Label Detection with Clean Data
6. ICML 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
7. ICML 2023Detecting Out-of-distribution Data through In-distribution Class Prior
8. ICML 2023Discovering Object-Centric Generalized Value Functions From Pixels
9. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
10. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
11. ICML 2023Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
12. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
13. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
14. ICML 2023Generated Graph Detection
15. ICML 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
16. ICML 2023Interactive Object Placement with Reinforcement Learning
17. ICML 2023Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
18. ICML 2023Kernel QuantTree
19. ICML 2023Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
20. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
21. ICML 2023Multi-Modal Classifiers for Open-Vocabulary Object Detection
22. ICML 2023Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
23. ICML 2023Phase Transitions in the Detection of Correlated Databases
24. ICML 2023Prototype-oriented unsupervised anomaly detection for multivariate time series
25. ICML 2023Provably Learning Object-Centric Representations
26. ICML 2023Robust and Scalable Bayesian Online Changepoint Detection
27. ICML 2023Sequential Changepoint Detection via Backward Confidence Sequences
28. ICML 2023Slot-VAE: Object-Centric Scene Generation with Slot Attention
29. ICML 2023SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
30. ICML 2023Topological Singularity Detection at Multiple Scales
31. ICML 2023UMD: Unsupervised Model Detection for X2X Backdoor Attacks
32. ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability

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。