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 10 / 14 页
- NeurIPS 2024PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
- NeurIPS 2024PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
- NeurIPS 2024Persistence Homology Distillation for Semi-supervised Continual Learning
- NeurIPS 2024Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
- NeurIPS 2024PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
- NeurIPS 2024PhyRecon: Physically Plausible Neural Scene Reconstruction
- NeurIPS 2024Physically Compatible 3D Object Modeling from a Single Image
- NeurIPS 2024Physics-Constrained Comprehensive Optical Neural Networks
- NeurIPS 2024PLIP: Language-Image Pre-training for Person Representation Learning
- NeurIPS 2024Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
- NeurIPS 2024PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
- NeurIPS 2024Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
- NeurIPS 2024Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
- NeurIPS 2024Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
- NeurIPS 2024Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
- NeurIPS 2024Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
- NeurIPS 2024Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
- NeurIPS 2024ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
- NeurIPS 2024Prune and Repaint: Content-Aware Image Retargeting for any Ratio
- NeurIPS 2024Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising
- NeurIPS 2024Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
- NeurIPS 2024QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
- NeurIPS 2024R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
- NeurIPS 2024Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
- NeurIPS 2024RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
- NeurIPS 2024Real-time Stereo-based 3D Object Detection for Streaming Perception
- NeurIPS 2024Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
- NeurIPS 2024Recognize Any Regions
- NeurIPS 2024Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model
- NeurIPS 2024Reconstruction of Manipulated Garment with Guided Deformation Prior
- NeurIPS 2024Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
- NeurIPS 2024Referring Human Pose and Mask Estimation In the Wild
- NeurIPS 2024ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
- NeurIPS 2024ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting
- NeurIPS 2024Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
- NeurIPS 2024Renovating Names in Open-Vocabulary Segmentation Benchmarks
- NeurIPS 2024ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations
- NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
- NeurIPS 2024RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
- NeurIPS 2024Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective
- NeurIPS 2024Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks
- NeurIPS 2024Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
- NeurIPS 2024Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
- NeurIPS 2024Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
- NeurIPS 2024RETR: Multi-View Radar Detection Transformer for Indoor Perception
- NeurIPS 2024Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection
- NeurIPS 2024Revisiting Few-Shot Object Detection with Vision-Language Models
- NeurIPS 2024Revisiting Score Propagation in Graph Out-of-Distribution Detection
- NeurIPS 2024RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
- NeurIPS 2024RobIR: Robust Inverse Rendering for High-Illumination Scenes
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。