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
- 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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 88 | 67 | 32 | 298 | 485 |
| 2024 | 667 | 78 | 55 | 272 | 1,072 |
| 2025 | 175 | 85 | 57 | 254 | 571 |
| 2026 | 179 | 95 | 121 | 286 | 681 |
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 1 / 2 页
- ICLR 2026A Rich Knowledge Space for Scalable Deepfake Detection
- ICLR 2026Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring.
- ICLR 2026AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
- ICLR 2026AP-OOD: Attention Pooling for Out-of- Distribution Detection
- ICLR 2026AsyncBEV: Cross-modal flow alignment in Asynchronous 3D Object Detection
- ICLR 2026Beyond Frequency: Scoring-Driven Debiasing for Object Detection via Blueprint-Prompted Image Synthesis
- ICLR 2026Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
- ICLR 2026Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection
- ICLR 2026Beyond Visual Reconstruction Quality: Object Perception-aware 3D Gaussian Splatting for Autonomous Driving
- ICLR 2026BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
- ICLR 2026BioTamperNet: Affinity-Guided State-Space Model Detecting Tampered Biomedical Images
- ICLR 2026Bridging Fairness and Explainability: Can Input-Based Explanations Promote Fairness in Hate Speech Detection?
- ICLR 2026Certifying the Full YOLO Pipeline: A Probabilistic Verification Approach
- ICLR 2026CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detections
- ICLR 2026Complexity- and Statistics-Guided Anomaly Detection in Time Series Foundation Models
- ICLR 2026Contamination Detection for VLMs Using Multi‑Modal Semantic Perturbations
- ICLR 2026Contextual and Seasonal LSTMs for Time Series Anomaly Detection
- ICLR 2026CORDS - Continuous Representations of Discrete Structures
- ICLR 2026D&R: Recovery-based AI-Generated Text Detection via a Single Black-box LLM Call
- ICLR 2026DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection
- ICLR 2026Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
- ICLR 2026Detection of unknown unknowns in autonomous systems
- ICLR 2026DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts
- ICLR 2026DiffuDETR: Rethinking Detection Transformers with Diffusion Process
- ICLR 2026DR-GGAD: Dual Residual Centering for Mitigating Anomaly Non‑Discriminativity in Generalist Graph Anomaly Detection
- ICLR 2026DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
- ICLR 2026Dual Distillation for Few-Shot Anomaly Detection
- ICLR 2026Dynamic Multi-sample Mixup with Gradient Exploration for Open-set Graph Anomaly Detection
- ICLR 2026EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
- ICLR 2026EigenScore: OOD Detection using Posterior Covariance in Diffusion Models
- ICLR 2026Enhancing Hallucination Detection through Noise Injection
- ICLR 2026Enhancing Sparse Event Detection in Healthcare Time-Series via Adaptive Gate of Context–Detail Interaction
- ICLR 2026Enhancing Vision Transformers for Object Detection via Context-Aware Token Selection and Packing
- ICLR 2026Escaping the Homophily Trap: A Threshold-free Graph Outlier Detection Framework via Clustering-guided Edge Reweighting
- ICLR 2026EVEREST: A Transformer for Probabilistic Rare-Event Anomaly Detection with Evidential and Tail-Aware Uncertainty
- ICLR 2026FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning
- ICLR 2026Fantastic Tractor-Dogs and How Not to Find Them With Open-Vocabulary Detectors
- ICLR 2026First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation
- ICLR 2026Fisher-Rao Sensitivity for Out-of-Distribution Detection in Deep Neural Networks
- ICLR 2026Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection
- ICLR 2026ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection
- ICLR 2026Free Point-wise Anomaly Detection via Fold-bifurcation
- ICLR 2026From ``Sure" to ``Sorry": Detecting Jailbreak in Large Vision Language Model via JailNeurons
- ICLR 2026From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning
- ICLR 2026FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion
- ICLR 2026GOLDILOCS: GENERAL OBJECT-LEVEL DETECTION AND LABELING OF CHANGES IN SCENES
- ICLR 2026GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
- ICLR 2026GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
- ICLR 2026HARP: Hallucination Detection via Reasoning Subspace Projection
- ICLR 2026Healthcare Insurance Fraud Detection via Continual Fiedler Vector Graph Model
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"}
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。