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

325 papers, page 4 of 7

151. ICLR 2025On the Transfer of Object-Centric Representation Learning
152. ICLR 2025Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
153. ICLR 2025PaLD: Detection of Text Partially Written by Large Language Models
154. ICLR 2025PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
155. ICLR 2025Provably Safeguarding a Classifier from OOD and Adversarial Samples
156. ICLR 2025PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection
157. ICLR 2025Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
158. ICLR 2025Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
159. ICLR 2025R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection
160. ICLR 2025Re-Aligning Language to Visual Objects with an Agentic Workflow
161. ICLR 2025Reveal Object in Lensless Photography via Region Gaze and Amplification
162. ICLR 2025RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection
163. ICLR 2025SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection
164. ICLR 2025Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
165. ICLR 2025Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
166. ICLR 2025SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
167. ICLR 2025Spreading Out-of-Distribution Detection on Graphs
168. ICLR 2025State Space Model Meets Transformer: A New Paradigm for 3D Object Detection
169. ICLR 2025TDDBench: A Benchmark for Training data detection
170. ICLR 2025The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
171. ICLR 2025The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
172. ICLR 2025The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
173. ICLR 2025TimeInf: Time Series Data Contribution via Influence Functions
174. ICLR 2025Tracking objects that change in appearance with phase synchrony
175. ICLR 2025Training-free LLM-generated Text Detection by Mining Token Probability Sequences
176. ICLR 2025Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
177. ICLR 2025Uni$^2$Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection
178. ICLR 2025Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
179. ICLR 2025Union-over-Intersections: Object Detection beyond Winner-Takes-All
180. ICLR 2025YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
181. ICLR 2024A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
182. ICLR 2024A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
183. ICLR 2024ADOPD: A Large-Scale Document Page Decomposition Dataset
184. ICLR 2024AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
185. ICLR 2024Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
186. ICLR 2024AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
187. ICLR 2024BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
188. ICLR 2024Boosting Graph Anomaly Detection with Adaptive Message Passing
189. ICLR 2024Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
190. ICLR 2024CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
191. ICLR 2024Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
192. ICLR 2024CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
193. ICLR 2024COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
194. ICLR 2024ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
195. ICLR 2024Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
196. ICLR 2024CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
197. ICLR 2024Cycle Consistency Driven Object Discovery
198. ICLR 2024Decodable and Sample Invariant Continuous Object Encoder
199. ICLR 2024Deep Orthogonal Hypersphere Compression for Anomaly Detection
200. ICLR 2024DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

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.