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 2 / 4 页
- NeurIPS 2025Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
- NeurIPS 2025FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies
- NeurIPS 2025ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
- NeurIPS 2025ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
- NeurIPS 2025FORLA: Federated Object-centric Representation Learning with Slot Attention
- NeurIPS 2025Fortifying Time Series: DTW-Certified Robust Anomaly Detection
- NeurIPS 2025FrameShield: Adversarially Robust Video Anomaly Detection
- NeurIPS 2025Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
- NeurIPS 2025Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians
- NeurIPS 2025Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
- NeurIPS 2025Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection
- NeurIPS 2025GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
- NeurIPS 2025GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
- NeurIPS 2025GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset
- NeurIPS 2025Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
- NeurIPS 2025GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
- NeurIPS 2025Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
- NeurIPS 2025HOComp: Interaction-Aware Human-Object Composition
- NeurIPS 2025Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
- NeurIPS 2025IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning
- NeurIPS 2025InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection
- NeurIPS 2025InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition
- NeurIPS 2025Interactive Anomaly Detection for Articulated Objects via Motion Anticipation
- NeurIPS 2025IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
- NeurIPS 2025Knowledge Distillation Detection for Open-weights Models
- NeurIPS 2025LabelAny3D: Label Any Object 3D in the Wild
- NeurIPS 2025Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
- NeurIPS 2025Learning Human-Object Interaction as Groups
- NeurIPS 2025Learning Interactive World Model for Object-Centric Reinforcement Learning
- NeurIPS 2025Learning to Generate Human-Human-Object Interactions from Textual Descriptions
- NeurIPS 2025Learning to Zoom with Anatomical Relations for Medical Structure Detection
- NeurIPS 2025Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
- NeurIPS 2025MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
- NeurIPS 2025Memory by accident: a theory of learning as a byproduct of network stabilization
- NeurIPS 2025MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
- NeurIPS 2025MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
- NeurIPS 2025Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities
- NeurIPS 2025MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
- NeurIPS 2025MobileODE: An Extra Lightweight Network
- NeurIPS 2025Multimodal Causal Reasoning for UAV Object Detection
- NeurIPS 2025Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
- NeurIPS 2025Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
- NeurIPS 2025Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
- NeurIPS 2025Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
- NeurIPS 2025No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models
- NeurIPS 2025Normal-Abnormal Guided Generalist Anomaly Detection
- NeurIPS 2025Object Concepts Emerge from Motion
- NeurIPS 2025Object-centric 3D Motion Field for Robot Learning from Human Videos
- NeurIPS 2025Object-Centric Concept-Bottlenecks
- NeurIPS 2025Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
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。