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

57 papers, page 1 of 2

1. ICML 2025A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
2. ICML 2025A Online Statistical Framework for Out-of-Distribution Detection
3. ICML 2025A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
4. ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
5. ICML 2025Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection
6. ICML 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
7. ICML 2025Conformal Anomaly Detection in Event Sequences
8. ICML 2025Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
9. ICML 2025Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
10. ICML 2025CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
11. ICML 2025CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
12. ICML 2025Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
13. ICML 2025Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
14. ICML 2025FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
15. ICML 2025Feature Shift Localization Network
16. ICML 2025Few-Shot Learner Generalizes Across AI-Generated Image Detection
17. ICML 2025Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices
18. ICML 2025Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
19. ICML 2025Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
20. ICML 2025Identifiable Object Representations under Spatial Ambiguities
21. ICML 2025iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
22. ICML 2025Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
23. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
24. ICML 2025Learning Changes in Graphon Attachment Network Models
25. ICML 2025Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
26. ICML 2025LEMoN: Label Error Detection using Multimodal Neighbors
27. ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
28. ICML 2025LLMScan: Causal Scan for LLM Misbehavior Detection
29. ICML 2025LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
30. ICML 2025Mahalanobis++: Improving OOD Detection via Feature Normalization
31. ICML 2025More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions
32. ICML 2025Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
33. ICML 2025Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
34. ICML 2025Open-Det: An Efficient Learning Framework for Open-Ended Detection
35. ICML 2025Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
36. ICML 2025Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
37. ICML 2025Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
38. ICML 2025OW-VAP: Visual Attribute Parsing for Open World Object Detection
39. ICML 2025PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals
40. ICML 2025PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
41. ICML 2025Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
42. ICML 2025QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
43. ICML 2025Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
44. ICML 2025Robust Conformal Outlier Detection under Contaminated Reference Data
45. ICML 2025RUN: Reversible Unfolding Network for Concealed Object Segmentation
46. ICML 2025Sample Complexity of Correlation Detection in the Gaussian Wigner Model
47. ICML 2025Self-Discriminative Modeling for Anomalous Graph Detection
48. ICML 2025Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
49. ICML 2025SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
50. ICML 2025Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution

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.