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

265 papers, page 4 of 6

151. ICML 2025Mahalanobis++: Improving OOD Detection via Feature Normalization
152. ICML 2025More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions
153. ICML 2025Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
154. ICML 2025Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
155. ICML 2025Open-Det: An Efficient Learning Framework for Open-Ended Detection
156. ICML 2025Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
157. ICML 2025Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
158. ICML 2025Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
159. ICML 2025OW-VAP: Visual Attribute Parsing for Open World Object Detection
160. ICML 2025PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals
161. ICML 2025PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
162. ICML 2025Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
163. ICML 2025QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
164. ICML 2025Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
165. ICML 2025Robust Conformal Outlier Detection under Contaminated Reference Data
166. ICML 2025RUN: Reversible Unfolding Network for Concealed Object Segmentation
167. ICML 2025Sample Complexity of Correlation Detection in the Gaussian Wigner Model
168. ICML 2025Self-Discriminative Modeling for Anomalous Graph Detection
169. ICML 2025Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
170. ICML 2025SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
171. ICML 2025Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
172. ICML 2025Statistical Test for Feature Selection Pipelines by Selective Inference
173. ICML 2025Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
174. ICML 2025Steer LLM Latents for Hallucination Detection
175. ICML 2025Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation
176. ICML 2025Towards a Unified Framework of Clustering-based Anomaly Detection
177. ICML 2025Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
178. ICML 2025Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
179. ICML 2024A Geometric Explanation of the Likelihood OOD Detection Paradox
180. ICML 2024A Provable Decision Rule for Out-of-Distribution Detection
181. ICML 2024A Rate-Distortion View of Uncertainty Quantification
182. ICML 2024An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
183. ICML 2024An Unsupervised Approach for Periodic Source Detection in Time Series
184. ICML 2024Beyond Individual Input for Deep Anomaly Detection on Tabular Data
185. ICML 2024Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
186. ICML 2024Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
187. ICML 2024Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
188. ICML 2024CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
189. ICML 2024DE-COP: Detecting Copyrighted Content in Language Models Training Data
190. ICML 2024DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
191. ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
192. ICML 2024Discrete Latent Perspective Learning for Segmentation and Detection
193. ICML 2024DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
194. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
195. ICML 2024Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
196. ICML 2024Enabling Uncertainty Estimation in Iterative Neural Networks
197. ICML 2024Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
198. ICML 2024ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
199. ICML 2024Graph Out-of-Distribution Detection Goes Neighborhood Shaping
200. ICML 2024HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

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.