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 21 / 22 页
- NeurIPS 2024Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
- NeurIPS 2024TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
- NeurIPS 2024Typicalness-Aware Learning for Failure Detection
- NeurIPS 2024UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles
- NeurIPS 2024UDON: Universal Dynamic Online distillatioN for generic image representations
- NeurIPS 2024UMB: Understanding Model Behavior for Open-World Object Detection
- NeurIPS 2024UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
- NeurIPS 2024Uncertainty-aware Fine-tuning of Segmentation Foundation Models
- NeurIPS 2024Understanding Bias in Large-Scale Visual Datasets
- NeurIPS 2024Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
- NeurIPS 2024UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
- NeurIPS 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
- NeurIPS 2024Unified Generative and Discriminative Training for Multi-modal Large Language Models
- NeurIPS 2024Unified Lexical Representation for Interpretable Visual-Language Alignment
- NeurIPS 2024UniGAD: Unifying Multi-level Graph Anomaly Detection
- NeurIPS 2024UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes
- NeurIPS 2024UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
- NeurIPS 2024Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark
- NeurIPS 2024Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
- NeurIPS 2024Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need?
- NeurIPS 2024Unsupervised Anomaly Detection in The Presence of Missing Values
- NeurIPS 2024Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
- NeurIPS 2024Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
- NeurIPS 2024Unsupervised Object Detection with Theoretical Guarantees
- NeurIPS 2024Unveiling Encoder-Free Vision-Language Models
- NeurIPS 2024Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
- NeurIPS 2024UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond
- NeurIPS 2024UV-free Texture Generation with Denoising and Geodesic Heat Diffusion
- NeurIPS 2024Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
- NeurIPS 2024VastTrack: Vast Category Visual Object Tracking
- NeurIPS 2024VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
- NeurIPS 2024Vector Quantization Prompting for Continual Learning
- NeurIPS 2024VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception
- NeurIPS 2024VFIMamba: Video Frame Interpolation with State Space Models
- NeurIPS 2024Video Token Merging for Long Video Understanding
- NeurIPS 2024VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
- NeurIPS 2024Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients
- NeurIPS 2024Vision Foundation Model Enables Generalizable Object Pose Estimation
- NeurIPS 2024Vision Mamba Mender
- NeurIPS 2024Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
- NeurIPS 2024Vision-Language Models are Strong Noisy Label Detectors
- NeurIPS 2024VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
- NeurIPS 2024VisMin: Visual Minimal-Change Understanding
- NeurIPS 2024Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
- NeurIPS 2024Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
- NeurIPS 2024Visual Fourier Prompt Tuning
- NeurIPS 2024Visual Prompt Tuning in Null Space for Continual Learning
- NeurIPS 2024VMamba: Visual State Space Model
- NeurIPS 2024Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
- NeurIPS 2024Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
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。