目标检测论文趋势 2023–2026

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。

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 265 篇，第 3 / 6 页

101. ICML 2026Singular Bayesian Neural Networks
102. ICML 2026SLIP-RS: Structured-Attribute Language-Image Pre-Training for Remote Sensing Object Detection
103. ICML 2026Smoothing Slot Attention Iterations and Recurrences
104. ICML 2026SONAR: Spectral‑Contrastive Audio Residuals for Generalizable Deepfake Detection
105. ICML 2026SPUR: Scale-Partitioned Uncertainty Rectification for Robust UAV-on-UAV Interception
106. ICML 2026Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text
107. ICML 2026STORM: Segment, Track, and Object Re-Localization from a Single Image
108. ICML 2026Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection
109. ICML 2026T-measure: A Topology-Consistent Metric for Binary Segmentation
110. ICML 2026TeamWork: Multivariate Time Series Anomaly Detection via Asymmetric Role-aware Channel Modeling
111. ICML 2026Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection
112. ICML 2026Testing For Distribution Shifts with Conditional Conformal Test Martingales
113. ICML 2026Token-Efficient Change Detection in LLM APIs
114. ICML 2026Transfer Learning in High-dimensional Ising Models
115. ICML 2026TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation
116. ICML 2026Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection
117. ICML 2026Unsupervised Camouflaged Object Detection with Dual-Eigenvector Spectral Pseudo-Labeling and Contrastive Refinement
118. ICML 2026VSCD: Video-based Scene Change Detection in Unaligned Scenes
119. ICML 2026WatchLog: Efficient and Interpretable Event Reasoning for Endpoint Detection and Response Logs with Multimodal LLMs
120. ICML 2026What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decomposition
121. ICML 2026WorldComp2D: Spatio-semantic Representations of Object Identity and Location from Local Views
122. ICML 2025A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
123. ICML 2025A Online Statistical Framework for Out-of-Distribution Detection
124. ICML 2025A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
125. ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
126. ICML 2025Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection
127. ICML 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
128. ICML 2025Conformal Anomaly Detection in Event Sequences
129. ICML 2025Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
130. ICML 2025Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
131. ICML 2025CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
132. ICML 2025CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
133. ICML 2025Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
134. ICML 2025Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
135. ICML 2025FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
136. ICML 2025Feature Shift Localization Network
137. ICML 2025Few-Shot Learner Generalizes Across AI-Generated Image Detection
138. ICML 2025Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices
139. ICML 2025Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
140. ICML 2025Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
141. ICML 2025Identifiable Object Representations under Spatial Ambiguities
142. ICML 2025iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
143. ICML 2025Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
144. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
145. ICML 2025Learning Changes in Graphon Attachment Network Models
146. ICML 2025Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
147. ICML 2025LEMoN: Label Error Detection using Multimodal Neighbors
148. ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
149. ICML 2025LLMScan: Causal Scan for LLM Misbehavior Detection
150. ICML 2025LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D

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。