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

88 papers, page 1 of 2

1. NeurIPS 20233D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
2. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
3. NeurIPS 2023AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
4. NeurIPS 2023Adversarial Learning for Feature Shift Detection and Correction
5. NeurIPS 2023AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
6. NeurIPS 2023Are These the Same Apple? Comparing Images Based on Object Intrinsics
7. NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
8. NeurIPS 2023AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
9. NeurIPS 2023Cal-DETR: Calibrated Detection Transformer
10. NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
11. NeurIPS 2023CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
12. NeurIPS 2023CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
13. NeurIPS 2023CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
14. NeurIPS 2023CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
15. NeurIPS 2023Color Equivariant Convolutional Networks
16. NeurIPS 2023ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
17. NeurIPS 2023Contrastive Training of Complex-Valued Autoencoders for Object Discovery
18. NeurIPS 2023DAC-DETR: Divide the Attention Layers and Conquer
19. NeurIPS 2023DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
20. NeurIPS 2023DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
21. NeurIPS 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
22. NeurIPS 2023Depth-discriminative Metric Learning for Monocular 3D Object Detection
23. NeurIPS 2023Derandomized novelty detection with FDR control via conformal e-values
24. NeurIPS 2023Described Object Detection: Liberating Object Detection with Flexible Expressions
25. NeurIPS 2023Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
26. NeurIPS 2023Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
27. NeurIPS 2023Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
28. NeurIPS 2023Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
29. NeurIPS 2023Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection
30. NeurIPS 2023DVSOD: RGB-D Video Salient Object Detection
31. NeurIPS 2023EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
32. NeurIPS 2023Exploiting Contextual Objects and Relations for 3D Visual Grounding
33. NeurIPS 2023Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
34. NeurIPS 2023Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
35. NeurIPS 2023Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
36. NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
37. NeurIPS 2023FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
38. NeurIPS 2023From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models
39. NeurIPS 2023Generative Category-level Object Pose Estimation via Diffusion Models
40. NeurIPS 2023GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
41. NeurIPS 2023Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
42. NeurIPS 2023GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
43. NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
44. NeurIPS 2023HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
45. NeurIPS 2023HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
46. NeurIPS 2023Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
47. NeurIPS 2023IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
48. NeurIPS 2023Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
49. NeurIPS 2023Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
50. NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning

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.