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 179 篇，第 4 / 4 页
- NeurIPS 2026StomataBench: Measuring Taxonomic Generalization in Stomatal Detection
- NeurIPS 2026Stranger Things: When Objects Appear Without Their Typical Neighbours
- NeurIPS 2026Strengthen Out-of-Distribution Detection via Adaptive Mahalanobis Gap
- NeurIPS 2026Supervision Recovery for Time Series Anomaly Detection via Counterfactual Pairing
- NeurIPS 2026SynGS: Synergistic Continual Learning and Change Detection with Gaussian Splatting
- NeurIPS 2026Target-Aware Nuisance Shaping for Object Detection
- NeurIPS 2026Temporal Slice Learning for AI-Generated Video Detection with 400× Fewer FLOPs
- NeurIPS 2026TENET: Time-point Encoding Network for Multivariate Time Series Anomaly Detection
- NeurIPS 2026Test-Time Graph Anomaly Detection via Shifted Augmentation with Dynamic Objective Scheduling
- NeurIPS 2026The BV4 Benchmark for Unsupervised Anomaly Detection in High-Dimensional Spectral Data Streams
- NeurIPS 2026The Mask Is Not the Object: Volumetric Supervision for 3D Gaussian Segmentation
- NeurIPS 2026The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL.
- NeurIPS 2026The road reaches every place, the short cut only one: Self-Adversarial Shortcut Mitigation for AI-Generated Image Detection
- NeurIPS 2026Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection
- NeurIPS 2026TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
- NeurIPS 2026Towards Generalist Graph-Level Anomaly Detection
- NeurIPS 2026Towards Unified Dynamic Face Landmark Detection
- NeurIPS 2026Training-Free Open World Object Detection
- NeurIPS 2026TrajLoc: Trajectory-Attention Localization for Multi-Object Motion Control
- NeurIPS 2026TriBet: Relative E-values for Online Machine-generated Text Detection
- NeurIPS 2026Trustworthy and Efficient Map-free LiDAR Localization via Scan-Pose Alignment and Flow Matching
- NeurIPS 2026Unified Forensic Preference Learning for Generalizable Synthetic Image Detection
- NeurIPS 2026Vendi Anomaly Scores for Efficient and Accurate Anomaly Detection
- NeurIPS 2026Video Forensic Self-Descriptions: Leveraging Temporally Distributed Forensic Microstructures for Zero-Shot Detection of AI-Generated Videos
- NeurIPS 2026When Does Sequential Detection Collapse to a Scalar? A Necessary and Sufficient Characterisation
- NeurIPS 2026WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife
- NeurIPS 2026WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes
- NeurIPS 2026Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning
- NeurIPS 2026Your Self-Supervised Projection Head Captures Object Co-Occurrence Statistics
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。