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 1 / 4 页
- NeurIPS 20263D-PLOT-LLM: Part-Level Object Tokens for 3D Large Language Models
- NeurIPS 20263D-VITAL: Visibility-aware Identity Training from Artificial Liftings of 3D Reconstruction model for Cross-View Object Re-Identification
- NeurIPS 2026A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts
- NeurIPS 2026Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic Critique
- NeurIPS 2026Adaptive Covariance and Multi-Layer Alignment for Out-of-Distribution Detection
- NeurIPS 2026Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
- NeurIPS 2026Alignment Imprint: Zero-Shot AI-Generated Text Detection via Provable Preference Discrepancy
- NeurIPS 2026An Efficient Cross-modal Feature Reconstruction Model for Multimodal Multi-class Anomaly Detection
- NeurIPS 2026Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video
- NeurIPS 2026At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections
- NeurIPS 2026Auditing Attention Head Masking for Out-of-Distribution Detection: Cross-Architecture Wins, Failures, and Polarity Inversions
- NeurIPS 2026AWP: Activation-based Window Pruning for Gigapixel Object Detection
- NeurIPS 2026Beyond Normal References: Discriminative Few-Shot Anomaly Detection
- NeurIPS 2026Beyond the Prompt: Leveraging Pre-Decoding States for Jailbreak Detection in dLLMs
- NeurIPS 2026Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes
- NeurIPS 2026BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots
- NeurIPS 2026BiLi: Bridging the Last Mile in LiDAR Localization
- NeurIPS 2026BoxTuning: Object-Aware Visual Prompting for Multimodal Model Fine-Tuning
- NeurIPS 2026BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation
- NeurIPS 2026CA-Judge: Teach Large Models to Judge Anomalies via Comparison for Video Anomaly Detection
- NeurIPS 2026Causal Bias Detection in Generative Artifical Intelligence
- NeurIPS 2026Characterizing Universal Object Representations Across Vision Models
- NeurIPS 2026CHORD: Cross-Model Hallucination Detection via Relational Graph Discrimination
- NeurIPS 2026CoDeRNet: Selective Cross-Task Routing under Heterogeneous Supervision for Change Detection and Captioning
- NeurIPS 2026Combating Camouflage and Forgetting: Spatio-Temporal Dual Denoising for Money Laundering Detection
- NeurIPS 2026COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection
- NeurIPS 2026Component-Based Out-of-Distribution Detection
- NeurIPS 2026ComPose: When to Trust Hands for Object Pose Tracking
- NeurIPS 2026ConfDet: Learning Reliable Confidence for MLLM-based Detection
- NeurIPS 2026ContextShift: A Controlled Benchmark for Context Dependence in Object Detection
- NeurIPS 2026COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection
- NeurIPS 2026Cross-Layer Evolution Graph Learning for Fine-grained VLM Hallucination Detection
- NeurIPS 2026CT-Lesion: A Multi-Region CT Dataset for Co-existing Lesion Segmentation and Detection
- NeurIPS 2026DARLING: Detection Augmented Reinforcement Learning with Non-Stationary Guarantees
- NeurIPS 2026DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
- NeurIPS 2026Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection
- NeurIPS 2026Detection and Classification in Latent Spaces: High-Dimensional Analysis and Validation
- NeurIPS 2026DexOPE: 6D Object Pose Estimation in Dexterous Manipulation
- NeurIPS 2026Distributional Estimation of 3D Object Orientation
- NeurIPS 2026Dynamic Query as Budgeting for Tiny Object Detection
- NeurIPS 2026DynaProto: Dynamic Prototypical Contrast for Temporally Consistent Object-Centric Learning
- NeurIPS 2026Effective Knowledge Conflict Detection via Joint Agentic Optimization
- NeurIPS 2026EmbodiedObject: All-in-One Object Understanding with SLAT
- NeurIPS 2026Enhancing Agentic Code Localization with Traceability Recovered from Repository Evolution
- NeurIPS 2026Evaluating Epistemic Uncertainty: Beyond OOD Detection and Active Learning
- NeurIPS 2026Exploiting Textual Semantics for Robust Cross-View Object Correspondence
- NeurIPS 2026Exposing and Mitigating Temporal Attack in Deepfake Video Detection
- NeurIPS 2026F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
- NeurIPS 2026FACETS: Cross-Granularity Vision--Language Modeling for 3D Anomaly Detection
- NeurIPS 2026Fault Tolerance in Transformers Favors Output Alignment over Hidden-State Consistency
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。