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 667 篇,第 1 / 14 页
- NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
- NeurIPS 2024$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
- NeurIPS 20242D-OOB: Attributing Data Contribution Through Joint Valuation Framework
- NeurIPS 20243D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
- NeurIPS 20243D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
- NeurIPS 20243D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
- NeurIPS 20243D Gaussian Splatting as Markov Chain Monte Carlo
- NeurIPS 20243DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection
- NeurIPS 20243DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors
- NeurIPS 20244D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
- NeurIPS 20244M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
- NeurIPS 2024A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
- NeurIPS 2024A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
- NeurIPS 2024A General Protocol to Probe Large Vision Models for 3D Physical Understanding
- NeurIPS 2024A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
- NeurIPS 2024A Label is Worth A Thousand Images in Dataset Distillation
- NeurIPS 2024A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking
- NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
- NeurIPS 2024A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
- NeurIPS 2024A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization
- NeurIPS 2024A Siamese Transformer with Hierarchical Refinement for Lane Detection
- NeurIPS 2024A Simple Image Segmentation Framework via In-Context Examples
- NeurIPS 2024A Simple yet Universal Framework for Depth Completion
- NeurIPS 2024A Sober Look at the Robustness of CLIPs to Spurious Features
- NeurIPS 2024A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
- NeurIPS 2024A Unified Framework for 3D Scene Understanding
- NeurIPS 2024Accelerating Augmentation Invariance Pretraining
- NeurIPS 2024Accelerating Non-Maximum Suppression: A Graph Theory Perspective
- NeurIPS 2024Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
- NeurIPS 2024ActAnywhere: Subject-Aware Video Background Generation
- NeurIPS 2024ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
- NeurIPS 2024Activating Self-Attention for Multi-Scene Absolute Pose Regression
- NeurIPS 2024Active Perception for Grasp Detection via Neural Graspness Field
- NeurIPS 2024AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
- NeurIPS 2024AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation
- NeurIPS 2024Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection
- NeurIPS 2024Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
- NeurIPS 2024AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection
- NeurIPS 2024Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
- NeurIPS 2024Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation
- NeurIPS 2024Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
- NeurIPS 2024Advancing Video Anomaly Detection: A Concise Review and a New Dataset
- NeurIPS 2024AED: Adaptable Error Detection for Few-shot Imitation Policy
- NeurIPS 2024Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
- NeurIPS 2024AHA: Human-Assisted Out-of-Distribution Generalization and Detection
- NeurIPS 2024Aligning Audio-Visual Joint Representations with an Agentic Workflow
- NeurIPS 2024Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
- NeurIPS 2024All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
- NeurIPS 2024AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
- NeurIPS 2024Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object 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。