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 1,072 篇，第 7 / 22 页
- ICLR 2024Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
- ICLR 2024GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
- ICLR 2024Grounded Object-Centric Learning
- ICLR 2024H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
- ICLR 2024How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
- ICLR 2024How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
- ICLR 2024ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
- ICLR 2024Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction
- ICLR 2024INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
- ICLR 2024InstructDET: Diversifying Referring Object Detection with Generalized Instructions
- ICLR 2024Learning dynamic representations of the functional connectome in neurobiological networks
- ICLR 2024Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
- ICLR 2024Learning with Mixture of Prototypes for Out-of-Distribution Detection
- ICLR 2024LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
- ICLR 2024LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
- ICLR 2024Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
- ICLR 2024MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
- ICLR 2024MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
- ICLR 2024MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
- ICLR 2024Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
- ICLR 2024Multiscale Positive-Unlabeled Detection of AI-Generated Texts
- ICLR 2024NECO: NEural Collapse Based Out-of-distribution detection
- ICLR 2024Negative Label Guided OOD Detection with Pretrained Vision-Language Models
- ICLR 2024Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
- ICLR 2024Object centric architectures enable efficient causal representation learning
- ICLR 2024Object-Centric Learning with Slot Mixture Module
- ICLR 2024On Diffusion Modeling for Anomaly Detection
- ICLR 2024Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
- ICLR 2024Out-of-Distribution Detection with Negative Prompts
- ICLR 2024Partitioning Message Passing for Graph Fraud Detection
- ICLR 2024PBADet: A One-Stage Anchor-Free Approach for Part-Body Association
- ICLR 2024Plugin estimators for selective classification with out-of-distribution detection
- ICLR 2024Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
- ICLR 2024Pre-training LiDAR-based 3D Object Detectors through Colorization
- ICLR 2024Provable Compositional Generalization for Object-Centric Learning
- ICLR 2024Raidar: geneRative AI Detection viA Rewriting
- ICLR 2024Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
- ICLR 2024Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
- ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
- ICLR 2024SPDER: Semiperiodic Damping-Enabled Object Representation
- ICLR 2024Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
- ICLR 2024The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models
- ICLR 2024Thin-Shell Object Manipulations With Differentiable Physics Simulations
- ICLR 2024Towards Category Unification of 3D Single Object Tracking on Point Clouds
- ICLR 2024Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
- ICLR 2024Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
- ICLR 2024V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection
- ICLR 2024VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
- ICLR 2024Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
- ICLR 2024Window Attention is Bugged: How not to Interpolate Position Embeddings
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。