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 78 篇,第 1 / 2 页
- ICLR 2024A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
- ICLR 2024A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
- ICLR 2024ADOPD: A Large-Scale Document Page Decomposition Dataset
- ICLR 2024AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
- ICLR 2024Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
- ICLR 2024AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
- ICLR 2024BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
- ICLR 2024Boosting Graph Anomaly Detection with Adaptive Message Passing
- ICLR 2024Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
- ICLR 2024CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
- ICLR 2024Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
- ICLR 2024CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
- ICLR 2024COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
- ICLR 2024ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
- ICLR 2024Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
- ICLR 2024CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
- ICLR 2024Cycle Consistency Driven Object Discovery
- ICLR 2024Decodable and Sample Invariant Continuous Object Encoder
- ICLR 2024Deep Orthogonal Hypersphere Compression for Anomaly Detection
- ICLR 2024DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
- ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
- ICLR 2024DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
- ICLR 2024DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
- ICLR 2024DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
- ICLR 2024DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
- ICLR 2024Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
- ICLR 2024Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
- ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
- 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
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。