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 88 篇,第 1 / 2 页
- NeurIPS 20233D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
- NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
- NeurIPS 2023AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
- NeurIPS 2023Adversarial Learning for Feature Shift Detection and Correction
- NeurIPS 2023AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
- NeurIPS 2023Are These the Same Apple? Comparing Images Based on Object Intrinsics
- NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
- NeurIPS 2023AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
- NeurIPS 2023Cal-DETR: Calibrated Detection Transformer
- NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
- NeurIPS 2023CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
- NeurIPS 2023CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
- NeurIPS 2023CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
- NeurIPS 2023CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
- NeurIPS 2023Color Equivariant Convolutional Networks
- NeurIPS 2023ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
- NeurIPS 2023Contrastive Training of Complex-Valued Autoencoders for Object Discovery
- NeurIPS 2023DAC-DETR: Divide the Attention Layers and Conquer
- NeurIPS 2023DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
- NeurIPS 2023DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
- NeurIPS 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
- NeurIPS 2023Depth-discriminative Metric Learning for Monocular 3D Object Detection
- NeurIPS 2023Derandomized novelty detection with FDR control via conformal e-values
- NeurIPS 2023Described Object Detection: Liberating Object Detection with Flexible Expressions
- NeurIPS 2023Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
- NeurIPS 2023Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
- NeurIPS 2023Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
- NeurIPS 2023Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
- NeurIPS 2023Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection
- NeurIPS 2023DVSOD: RGB-D Video Salient Object Detection
- NeurIPS 2023EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
- NeurIPS 2023Exploiting Contextual Objects and Relations for 3D Visual Grounding
- NeurIPS 2023Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
- NeurIPS 2023Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
- NeurIPS 2023Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
- NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
- NeurIPS 2023FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
- NeurIPS 2023From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models
- NeurIPS 2023Generative Category-level Object Pose Estimation via Diffusion Models
- NeurIPS 2023GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
- NeurIPS 2023Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
- NeurIPS 2023GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
- NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
- NeurIPS 2023HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
- NeurIPS 2023HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
- NeurIPS 2023Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
- NeurIPS 2023IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
- NeurIPS 2023Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
- NeurIPS 2023Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
- NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning
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。