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 16 / 22 页
- NeurIPS 2024LION: Linear Group RNN for 3D Object Detection in Point Clouds
- NeurIPS 2024LiT: Unifying LiDAR "Languages" with LiDAR Translator
- NeurIPS 2024LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering
- NeurIPS 2024LLaNA: Large Language and NeRF Assistant
- NeurIPS 2024LLM-Check: Investigating Detection of Hallucinations in Large Language Models
- NeurIPS 2024LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning
- NeurIPS 2024LocCa: Visual Pretraining with Location-aware Captioners
- NeurIPS 2024LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss
- NeurIPS 2024Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
- NeurIPS 2024LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
- NeurIPS 2024LOVA3: Learning to Visual Question Answering, Asking and Assessment
- NeurIPS 2024LP-3DGS: Learning to Prune 3D Gaussian Splatting
- NeurIPS 2024LRM-Zero: Training Large Reconstruction Models with Synthesized Data
- NeurIPS 2024Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
- NeurIPS 2024LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
- NeurIPS 2024M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
- NeurIPS 2024Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials
- NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
- NeurIPS 2024MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
- NeurIPS 2024MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
- NeurIPS 2024ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
- NeurIPS 2024MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
- NeurIPS 2024Matryoshka Query Transformer for Large Vision-Language Models
- NeurIPS 2024MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
- NeurIPS 2024MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
- NeurIPS 2024MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
- NeurIPS 2024Memorize What Matters: Emergent Scene Decomposition from Multitraverse
- NeurIPS 2024MemVLT: Vision-Language Tracking with Adaptive Memory-based Prompts
- NeurIPS 2024MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model
- NeurIPS 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
- NeurIPS 2024MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
- NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
- NeurIPS 2024MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
- NeurIPS 2024MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes
- NeurIPS 2024Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
- NeurIPS 2024Mitigating Object Hallucination via Concentric Causal Attention
- NeurIPS 2024Mixture of Nested Experts: Adaptive Processing of Visual Tokens
- NeurIPS 2024Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
- NeurIPS 2024MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
- NeurIPS 2024MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
- NeurIPS 2024MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
- NeurIPS 2024Motion Graph Unleashed: A Novel Approach to Video Prediction
- NeurIPS 2024MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting
- NeurIPS 2024Moving Off-the-Grid: Scene-Grounded Video Representations
- NeurIPS 2024MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
- NeurIPS 2024MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
- NeurIPS 2024Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
- NeurIPS 2024Multi-Object Hallucination in Vision Language Models
- NeurIPS 2024Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree
- NeurIPS 2024Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
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。