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

32 papers, page 1 of 1

1. ICML 2023ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
2. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
3. ICML 2023Bayesian online change point detection with Hilbert space approximate Student-t process
4. ICML 2023Deep Anomaly Detection under Labeling Budget Constraints
5. ICML 2023Delving into Noisy Label Detection with Clean Data
6. ICML 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
7. ICML 2023Detecting Out-of-distribution Data through In-distribution Class Prior
8. ICML 2023Discovering Object-Centric Generalized Value Functions From Pixels
9. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
10. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
11. ICML 2023Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
12. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
13. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
14. ICML 2023Generated Graph Detection
15. ICML 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
16. ICML 2023Interactive Object Placement with Reinforcement Learning
17. ICML 2023Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
18. ICML 2023Kernel QuantTree
19. ICML 2023Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
20. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
21. ICML 2023Multi-Modal Classifiers for Open-Vocabulary Object Detection
22. ICML 2023Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
23. ICML 2023Phase Transitions in the Detection of Correlated Databases
24. ICML 2023Prototype-oriented unsupervised anomaly detection for multivariate time series
25. ICML 2023Provably Learning Object-Centric Representations
26. ICML 2023Robust and Scalable Bayesian Online Changepoint Detection
27. ICML 2023Sequential Changepoint Detection via Backward Confidence Sequences
28. ICML 2023Slot-VAE: Object-Centric Scene Generation with Slot Attention
29. ICML 2023SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
30. ICML 2023Topological Singularity Detection at Multiple Scales
31. ICML 2023UMD: Unsupervised Model Detection for X2X Backdoor Attacks
32. ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability

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.