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

55 papers, page 1 of 2

1. ICML 2024A Geometric Explanation of the Likelihood OOD Detection Paradox
2. ICML 2024A Provable Decision Rule for Out-of-Distribution Detection
3. ICML 2024A Rate-Distortion View of Uncertainty Quantification
4. ICML 2024An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
5. ICML 2024An Unsupervised Approach for Periodic Source Detection in Time Series
6. ICML 2024Beyond Individual Input for Deep Anomaly Detection on Tabular Data
7. ICML 2024Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
8. ICML 2024Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
9. ICML 2024Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
10. ICML 2024CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
11. ICML 2024DE-COP: Detecting Copyrighted Content in Language Models Training Data
12. ICML 2024DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
13. ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
14. ICML 2024Discrete Latent Perspective Learning for Segmentation and Detection
15. ICML 2024DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
16. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
17. ICML 2024Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
18. ICML 2024Enabling Uncertainty Estimation in Iterative Neural Networks
19. ICML 2024Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
20. ICML 2024ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
21. ICML 2024Graph Out-of-Distribution Detection Goes Neighborhood Shaping
22. ICML 2024HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
23. ICML 2024Hierarchical Novelty Detection via Fine-Grained Evidence Allocation
24. ICML 2024IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency
25. ICML 2024Incremental Topological Ordering and Cycle Detection with Predictions
26. ICML 2024Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
27. ICML 2024Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
28. ICML 2024Learning Causal Dynamics Models in Object-Oriented Environments
29. ICML 2024Measuring Stochastic Data Complexity with Boltzmann Influence Functions
30. ICML 2024Network Tight Community Detection
31. ICML 2024NExT-Chat: An LMM for Chat, Detection and Segmentation
32. ICML 2024Non-parametric Online Change Point Detection on Riemannian Manifolds
33. ICML 2024ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
34. ICML 2024Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
35. ICML 2024Outlier-robust Kalman Filtering through Generalised Bayes
36. ICML 2024PAGER: Accurate Failure Characterization in Deep Regression Models
37. ICML 2024Position: On the Possibilities of AI-Generated Text Detection
38. ICML 2024Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
39. ICML 2024Proactive Detection of Voice Cloning with Localized Watermarking
40. ICML 2024QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
41. ICML 2024Receptive Fields As Experts in Convolutional Neural Architectures
42. ICML 2024Reducing sequential change detection to sequential estimation
43. ICML 2024RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
44. ICML 2024SCoRe: Submodular Combinatorial Representation Learning
45. ICML 2024Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
46. ICML 2024Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
47. ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
48. ICML 2024Stochastic Localization via Iterative Posterior Sampling
49. ICML 2024Towards Unified Multi-granularity Text Detection with Interactive Attention
50. ICML 2024Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence

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.