Object Detection papers, 2023–2026

Key findings

• Object Detection went from 485 papers in 2023 to 681 in 2026, roughly 1.4x in three years.
• CVPR publishes the most Object Detection work: 1,110 papers from 2023 to 2026, 40% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 11 in 2023 to 39 in 2026.
• Among the 5 topics under Computer Vision, it ranks #4 by 2026 paper count; the fastest grower in the group, Video Understanding, is up 2.6x versus 1.4x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Object Detection papers

175 papers, page 3 of 4

101. NeurIPS 2025Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations
102. NeurIPS 2025On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
103. NeurIPS 2025On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
104. NeurIPS 2025On the SAC-BL Algorithm for Anomaly Detection
105. NeurIPS 2025OOD Detection with Relative Angles
106. NeurIPS 2025OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
107. NeurIPS 2025OpenBox: Annotate Any Bounding Boxes in 3D
108. NeurIPS 2025OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model
109. NeurIPS 2025Optimal community detection in dense bipartite graphs
110. NeurIPS 2025Optimal Online Change Detection via Random Fourier Features
111. NeurIPS 2025Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
112. NeurIPS 2025PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
113. NeurIPS 2025Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection
114. NeurIPS 2025Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
115. NeurIPS 2025Preference-Based Dynamic Ranking Structure Recognition
116. NeurIPS 2025Promptable 3-D Object Localization with Latent Diffusion Models
117. NeurIPS 2025Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
118. NeurIPS 2025RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
119. NeurIPS 2025Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
120. NeurIPS 2025ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
121. NeurIPS 2025Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
122. NeurIPS 2025Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks
123. NeurIPS 2025Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
124. NeurIPS 2025Rescaled Influence Functions: Accurate Data Attribution in High Dimension
125. NeurIPS 2025Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics
126. NeurIPS 2025Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
127. NeurIPS 2025Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
128. NeurIPS 2025RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching
129. NeurIPS 2025RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
130. NeurIPS 2025Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
131. NeurIPS 2025Robust Hallucination Detection in LLMs via Adaptive Token Selection
132. NeurIPS 2025Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping
133. NeurIPS 2025S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
134. NeurIPS 2025Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
135. NeurIPS 2025ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
136. NeurIPS 2025Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation
137. NeurIPS 2025SegMASt3R: Geometry Grounded Segment Matching
138. NeurIPS 2025Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
139. NeurIPS 2025Self-Supervised Learning of Graph Representations for Network Intrusion Detection
140. NeurIPS 2025Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
141. NeurIPS 2025SentinelKilnDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery
142. NeurIPS 2025SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference
143. NeurIPS 2025SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation
144. NeurIPS 2025SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
145. NeurIPS 2025Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation
146. NeurIPS 2025Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
147. NeurIPS 2025SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
148. NeurIPS 2025STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
149. NeurIPS 2025Stop the Nonconsensual Use of Nude Images in Research
150. NeurIPS 2025Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection

FAQ

How many Object Detection papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,809 in total: 485 in 2023, 1,072 in 2024, 571 in 2025, 681 in 2026.

How many Object Detection papers are at NeurIPS 2026?

NeurIPS 2026 has 179 Object Detection papers, versus 175 the year before.

How many Object Detection papers are at ICLR 2026?

ICLR 2026 has 95 Object Detection papers, versus 85 the year before.

How many Object Detection papers are at ICML 2026?

ICML 2026 has 121 Object Detection papers, versus 57 the year before.

How many Object Detection papers are at CVPR 2026?

CVPR 2026 has 286 Object Detection papers, versus 254 the year before.

Which conference publishes the most Object Detection papers?

CVPR, with 1,110 papers from 2023 to 2026.