目标检测论文趋势 2023–2026

检测与定位

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,809 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

目标检测论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023886732298485
202466778552721,072
20251758557254571
202617995121286681

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

全部目标检测论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 485 篇，第 8 / 10 页

  1. ICLR 2023Robust and Controllable Object-Centric Learning through Energy-based Models
  2. ICLR 2023SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
  3. ICLR 2023Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
  4. ICLR 2023Semi-supervised Community Detection via Structural Similarity Metrics
  5. ICLR 2023The KFIoU Loss for Rotated Object Detection
  6. ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
  7. ICLR 2023Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
  8. ICLR 2023Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
  9. ICLR 2023Towards Robust Object Detection Invariant to Real-World Domain Shifts
  10. ICLR 2023Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
  11. ICLR 2023Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
  12. ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
  13. ICLR 2023Unsupervised Model Selection for Time Series Anomaly Detection
  14. ICLR 2023Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
  15. ICLR 2023Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
  16. ICML 2023ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
  17. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
  18. ICML 2023Bayesian online change point detection with Hilbert space approximate Student-t process
  19. ICML 2023Deep Anomaly Detection under Labeling Budget Constraints
  20. ICML 2023Delving into Noisy Label Detection with Clean Data
  21. ICML 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
  22. ICML 2023Detecting Out-of-distribution Data through In-distribution Class Prior
  23. ICML 2023Discovering Object-Centric Generalized Value Functions From Pixels
  24. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
  25. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
  26. ICML 2023Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
  27. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
  28. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
  29. ICML 2023Generated Graph Detection
  30. ICML 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
  31. ICML 2023Interactive Object Placement with Reinforcement Learning
  32. ICML 2023Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
  33. ICML 2023Kernel QuantTree
  34. ICML 2023Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
  35. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
  36. ICML 2023Multi-Modal Classifiers for Open-Vocabulary Object Detection
  37. ICML 2023Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
  38. ICML 2023Phase Transitions in the Detection of Correlated Databases
  39. ICML 2023Prototype-oriented unsupervised anomaly detection for multivariate time series
  40. ICML 2023Provably Learning Object-Centric Representations
  41. ICML 2023Robust and Scalable Bayesian Online Changepoint Detection
  42. ICML 2023Sequential Changepoint Detection via Backward Confidence Sequences
  43. ICML 2023Slot-VAE: Object-Centric Scene Generation with Slot Attention
  44. ICML 2023SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
  45. ICML 2023Topological Singularity Detection at Multiple Scales
  46. ICML 2023UMD: Unsupervised Model Detection for X2X Backdoor Attacks
  47. ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
  48. NeurIPS 20233D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
  49. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
  50. NeurIPS 2023AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查目标检测在 CVPR 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "object-detection"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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