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 121 篇，第 1 / 3 页

1. ICML 2026$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
2. ICML 20263D MeanFlow: One-Step Point Cloud Completion and Generation via Average-Velocity Transport
3. ICML 20263D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
4. ICML 2026A Geometry-Based View of Mahalanobis OOD Detection
5. ICML 2026Active Continual Learning with Metaplastic Binary Bayesian Neural Networks
6. ICML 2026AdaEraser: Training-Free Object Removal via Adaptive Attention Suppression
7. ICML 2026AdaSCALE: Adaptive Scaling for OOD Detection
8. ICML 2026ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph Network
9. ICML 2026Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents
10. ICML 2026An In-Depth Study on Deep Learning Model Cloning
11. ICML 2026Are Object-Centric Representations Better at Compositional Generalization?
12. ICML 2026Automatic Layer Selection for Hallucination Detection
13. ICML 2026Automatic Unsupervised Ensemble Outlier Model Selection
14. ICML 2026Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
15. ICML 2026Beyond Detection: A Structure-Aware Framework for Scene Text Tracking
16. ICML 2026Beyond Euclidean Summaries: Online Change Point Detection for Distribution-Valued Data
17. ICML 2026Bio-Vision-Inspired Spiking Neural Networks for Object Detection with Event Cameras
18. ICML 2026Black-Box Detection of LLM-Generated Text Using Generalized Jensen Shannon Divergence
19. ICML 2026BPL: Generalizable Deepfake Detection via Bias-only Pair-aware Learning
20. ICML 2026Breaking Manifold Continuity: Vector Quantized Modeling for Real-Centric Deepfake Detection
21. ICML 2026Causal-aware Anomaly Detection for Tabular Data
22. ICML 2026CLINIC: Towards High-quality Graph Out-Of-Distribution Detection
23. ICML 2026Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
24. ICML 2026CodeMamba: Shifting from Target Semantics to Self-Supervised Background Manifold Learning for Singularity Detection in Infrared Sequences
25. ICML 2026CODiff: One-Step Diffusion Model for Camouflaged Object Detection
26. ICML 2026COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing
27. ICML 2026Continuous Viewpoint Adaptation for Single View 3D Object Reconstruction
28. ICML 2026Controlled Dynamics Attractor Transformer
29. ICML 2026Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
30. ICML 2026CSOR: Coreset Selection for Object Re-identification via Class Pruning
31. ICML 2026DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits
32. ICML 2026DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation
33. ICML 2026Denoising without Diffusion: Fixed-Noise Denoiser Anomaly Detection in Tabular Data
34. ICML 2026Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention
35. ICML 2026Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
36. ICML 2026DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
37. ICML 2026Domain Adaptive Object Detection via Dynamic Causal Refinement
38. ICML 2026DOUBT: Decoupled Object-level Understanding and Bridging via vMF-based Trustworthiness for Hallucination Detection in MLLMs
39. ICML 2026DroneDINO: Towards Heterogeneous Routed Mixture of Experts for Drone-based Unified Object Detection
40. ICML 2026Embodied-DETR: End-to-End Temporal 3D Object Detection in Egocentric Views
41. ICML 2026Evaluating Object-Centric Models beyond Object Discovery
42. ICML 2026Exploring Motif-based Heterogeneous Graph Learning for ReDoS Detection
43. ICML 2026Factor-Wise Homogeneity of Slot-Attention for Continual Object-Centric Learning
44. ICML 2026FakeWorld 1.0: An Omni-modal Benchmark for Fake Media and Content
45. ICML 2026Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection
46. ICML 2026FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
47. ICML 2026ForensicConcept: Transferable Forensic Concepts for AIGI Detection
48. ICML 2026From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
49. ICML 2026From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
50. ICML 2026From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier 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。