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 175 篇,第 1 / 4 页
- NeurIPS 2025$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
- NeurIPS 2025$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
- NeurIPS 2025A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
- NeurIPS 2025AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
- NeurIPS 2025ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
- NeurIPS 2025Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
- NeurIPS 2025Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
- NeurIPS 2025AI-Generated Video Detection via Perceptual Straightening
- NeurIPS 2025Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
- NeurIPS 2025An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
- NeurIPS 2025An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
- NeurIPS 2025Anatomically inspired digital twins capture hierarchical object representations in visual cortex
- NeurIPS 2025Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
- NeurIPS 2025Association-Focused Path Aggregation for Graph Fraud Detection
- NeurIPS 2025Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
- NeurIPS 2025Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT
- NeurIPS 2025Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection
- NeurIPS 2025CamSAM2: Segment Anything Accurately in Camouflaged Videos
- NeurIPS 2025CLEAR: Command Level Annotated Dataset for Ransomware Detection
- NeurIPS 2025Clustering via Hedonic Games: New Concepts and Algorithms
- NeurIPS 2025CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
- NeurIPS 2025CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
- NeurIPS 2025CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
- NeurIPS 2025DAMamba: Vision State Space Model with Dynamic Adaptive Scan
- NeurIPS 2025DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection
- NeurIPS 2025DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis
- NeurIPS 2025Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy
- NeurIPS 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection
- NeurIPS 2025DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
- NeurIPS 2025DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
- NeurIPS 2025Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation
- NeurIPS 2025DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
- NeurIPS 2025DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
- NeurIPS 2025Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
- NeurIPS 2025Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
- NeurIPS 2025DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection
- NeurIPS 2025Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
- NeurIPS 2025DOVTrack: Data-Efficient Open-Vocabulary Tracking
- NeurIPS 2025Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
- NeurIPS 2025Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT
- NeurIPS 2025Dyn-O: Building Structured World Models with Object-Centric Representations
- NeurIPS 2025Efficient Part-level 3D Object Generation via Dual Volume Packing
- NeurIPS 2025EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
- NeurIPS 2025ELDET: Early-Learning Distillation with Noisy Labels for Object Detection
- NeurIPS 2025Embodied Crowd Counting
- NeurIPS 2025End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs
- NeurIPS 2025Epistemic Uncertainty for Generated Image Detection
- NeurIPS 2025Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
- NeurIPS 2025Fairness-aware Anomaly Detection via Fair Projection
- NeurIPS 2025FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning
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。