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 681 篇,第 12 / 14 页
- NeurIPS 2026FACETS: Cross-Granularity Vision--Language Modeling for 3D Anomaly Detection
- NeurIPS 2026Fault Tolerance in Transformers Favors Output Alignment over Hidden-State Consistency
- NeurIPS 2026FENet: Functional Embedding Neural Network for Change-Point Detection in Functional Time Series
- NeurIPS 2026FIND: Frequency Invariance Disentanglement for Test-Time Adaptation in LiDAR 3D Detection
- NeurIPS 2026Flow+Diff: Unifying Flow and Diffusion Representations for Multivariate Time Series Anomaly Detection
- NeurIPS 2026Forgery Evidence Peaks Mid-Stack: Forensic Evidence Relay for Multimodal Forgery Detection
- NeurIPS 2026From Link Prediction to Linear Community Detection: A Finite-Sample Guarantee for Graph Pretraining
- NeurIPS 2026GADMVP: Adaptive Few-Shot Graph-Level Anomaly Detection with Multi-View Structured Prompting
- NeurIPS 2026GAPS: Gradient-Aware Adaptation-Gap Scoring for Time-Series Anomaly Detection with Foundation Models
- NeurIPS 2026GATE-AD: Graph Attention Network Encoding for Few-Shot Industrial Visual Anomaly Detection
- NeurIPS 2026GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking
- NeurIPS 2026GEOPHYS: The Geometry of Physical Plausibility
- NeurIPS 2026GIFT: Representation Geometry Matters for Single-Domain Generalized Object Detection
- NeurIPS 2026GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem
- NeurIPS 2026GMOS: Grounding Moving Object Segmentation in 3D Space and Time
- NeurIPS 2026Grounded or Fabricated? Unsupervised Detection of LLM Hallucinations via Contextualized Influence on Response Embeddings
- NeurIPS 2026Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model
- NeurIPS 2026HaNDF: Object-Conditioned Geometric Neural Hand Distance Fields
- NeurIPS 2026HARMONY: Hierarchical Anchor Retrieval on Manifold for Oblivious-source Acoustic Anomaly Detection
- NeurIPS 2026Harnessing Accurate and Automatic Trend Detection in Data Streams via Tbps-Level Inference
- NeurIPS 2026HiLoc: A Hierarchical Representation Method for Spatial Localization in Multimodal Large Language Models
- NeurIPS 2026Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift
- NeurIPS 2026HOPE: Hand-Object Pressure Estimation from Monocular Videos
- NeurIPS 2026How Complete Should a Reference Be? A Benchmark Audit for Fluorescence Spot Detection
- NeurIPS 2026Hypergraph Modeling of Transformer Attention for Hallucination Detection
- NeurIPS 2026iDETR: Implicit DETR for Tiny Object Detection
- NeurIPS 2026InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection
- NeurIPS 2026Instruct-Particulate: Scaling Feed-Forward 3D Object Articulation with Kinematic Control
- NeurIPS 2026Internal Evaluation of Unsupervised Anomaly Detection Algorithms with Explanation
- NeurIPS 2026Inverted Detection and Control in Steering Vectors
- NeurIPS 2026Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry
- NeurIPS 2026KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering
- NeurIPS 2026Latent Introspection: Models Can Detect Prior Concept Injections
- NeurIPS 2026Layer Precision Reduction for Deep Anomaly Detection
- NeurIPS 2026LCD$^3$: Layout-Conditioned Diffusion for Dataset Distillation in Object Detection
- NeurIPS 2026Learning Generalizable Hand-Object Tracking Control without Human Demonstrations
- NeurIPS 2026Learning to Complete Extremal Mathematical Structures
- NeurIPS 2026LensCT: Fine-Grained AI-Involved Text Detection via Temporal-Hierarchical Tomograms of LLM Internals
- NeurIPS 2026Less is More: Fewer Tokens and Blocks Make AIGI Detection Faster and More Generalizable
- NeurIPS 2026LessMimic: Versatile Humanoid-Object Interaction with Unified Distance Field Representations
- NeurIPS 2026Local Sparsity Enables Unsupervised LLM Safety Detection
- NeurIPS 2026LOCO: Local Light-Aware Object Compositing with Spatially Varying Illumination-Augmented Data
- NeurIPS 2026Log-Likelihood, Simpson’s Paradox, and the Detection of Machine-Generated Text
- NeurIPS 2026Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees
- NeurIPS 2026Measuring Robustness and Efficiency in a Connectome-Constrained Fly Visual System Model on a Collision-Detection Task
- NeurIPS 2026MIRROR: Manifold Ideal Reference ReconstructOR for AI-Generated Image Detection
- NeurIPS 2026MixForensics: Blend Before You Encode for Generalizable AI-Generated Video Detection
- NeurIPS 2026MLLM Makes Strong Backbone for Multi-Modal Object Detection
- NeurIPS 2026MLLM-Edit: Benchmarking Image Forgery Detection and Localization under MLLM-based Editing
- NeurIPS 2026MOOD: Benchmarking Post-Hoc OOD Detection for Materials Property 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。