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 1,109 篇,第 14 / 23 页
- NeurIPS 2024Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
- NeurIPS 2024Improving Neural Network Surface Processing with Principal Curvatures
- NeurIPS 2024Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting
- NeurIPS 2024Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
- NeurIPS 2024In-Context Symmetries: Self-Supervised Learning through Contextual World Models
- NeurIPS 2024In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment
- NeurIPS 2024Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
- NeurIPS 2024Interfacing Foundation Models' Embeddings
- NeurIPS 2024InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
- NeurIPS 2024Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
- NeurIPS 2024IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
- NeurIPS 2024IPO: Interpretable Prompt Optimization for Vision-Language Models
- NeurIPS 2024Is Function Similarity Over-Engineered? Building a Benchmark
- NeurIPS 2024Is Multiple Object Tracking a Matter of Specialization?
- NeurIPS 2024Is Your LiDAR Placement Optimized for 3D Scene Understanding?
- NeurIPS 2024Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
- NeurIPS 2024Kernel PCA for Out-of-Distribution Detection
- NeurIPS 2024Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
- NeurIPS 2024Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
- NeurIPS 2024KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
- NeurIPS 2024Large Spatial Model: End-to-end Unposed Images to Semantic 3D
- NeurIPS 2024LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction
- NeurIPS 2024Latent Intrinsics Emerge from Training to Relight
- NeurIPS 2024LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
- NeurIPS 2024Learning 1D Causal Visual Representation with De-focus Attention Networks
- NeurIPS 2024Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
- NeurIPS 2024Learning Bregman Divergences with Application to Robustness
- NeurIPS 2024Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
- NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery
- NeurIPS 2024Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
- NeurIPS 2024Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
- NeurIPS 2024Learning from Offline Foundation Features with Tensor Augmentations
- NeurIPS 2024Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars
- NeurIPS 2024Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
- NeurIPS 2024Learning Segmentation from Point Trajectories
- NeurIPS 2024Learning to Decouple the Lights for 3D Face Texture Modeling
- NeurIPS 2024Learning to Edit Visual Programs with Self-Supervision
- NeurIPS 2024Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
- NeurIPS 2024Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
- NeurIPS 2024Learning Transferable Features for Implicit Neural Representations
- NeurIPS 2024Learning Truncated Causal History Model for Video Restoration
- NeurIPS 2024LESS: Label-Efficient and Single-Stage Referring 3D Segmentation
- NeurIPS 2024Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
- NeurIPS 2024Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
- NeurIPS 2024Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
- NeurIPS 2024LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
- NeurIPS 2024LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
- NeurIPS 2024Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
- NeurIPS 2024Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
- NeurIPS 2024LION: Linear Group RNN for 3D Object Detection in Point Clouds
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。