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

1,109 papers, page 21 of 23

1001. NeurIPS 2024Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
1002. NeurIPS 2024Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
1003. NeurIPS 2024WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
1004. NeurIPS 2024WeiPer: OOD Detection using Weight Perturbations of Class Projections
1005. NeurIPS 2024What If the Input is Expanded in OOD Detection?
1006. NeurIPS 2024What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
1007. NeurIPS 2024What matters when building vision-language models?
1008. NeurIPS 2024When does perceptual alignment benefit vision representations?
1009. NeurIPS 2024Why the Metric Backbone Preserves Community Structure
1010. NeurIPS 2024Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections
1011. NeurIPS 2024WildGaussians: 3D Gaussian Splatting In the Wild
1012. NeurIPS 2024Wormhole Loss for Partial Shape Matching
1013. NeurIPS 2024X-Ray: A Sequential 3D Representation For Generation
1014. NeurIPS 2024XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation
1015. NeurIPS 2024Yo'LLaVA: Your Personalized Language and Vision Assistant
1016. NeurIPS 2024YOLOv10: Real-Time End-to-End Object Detection
1017. NeurIPS 2024You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
1018. NeurIPS 2024You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection
1019. NeurIPS 2024Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain
1020. NeurIPS 2024Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection
1021. NeurIPS 2024Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
1022. NeurIPS 20233D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
1023. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
1024. NeurIPS 2023AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
1025. NeurIPS 2023Adversarial Learning for Feature Shift Detection and Correction
1026. NeurIPS 2023AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
1027. NeurIPS 2023Are These the Same Apple? Comparing Images Based on Object Intrinsics
1028. NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
1029. NeurIPS 2023AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
1030. NeurIPS 2023Cal-DETR: Calibrated Detection Transformer
1031. NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
1032. NeurIPS 2023CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
1033. NeurIPS 2023CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
1034. NeurIPS 2023CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
1035. NeurIPS 2023CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
1036. NeurIPS 2023Color Equivariant Convolutional Networks
1037. NeurIPS 2023ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
1038. NeurIPS 2023Contrastive Training of Complex-Valued Autoencoders for Object Discovery
1039. NeurIPS 2023DAC-DETR: Divide the Attention Layers and Conquer
1040. NeurIPS 2023DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
1041. NeurIPS 2023DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
1042. NeurIPS 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
1043. NeurIPS 2023Depth-discriminative Metric Learning for Monocular 3D Object Detection
1044. NeurIPS 2023Derandomized novelty detection with FDR control via conformal e-values
1045. NeurIPS 2023Described Object Detection: Liberating Object Detection with Flexible Expressions
1046. NeurIPS 2023Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
1047. NeurIPS 2023Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
1048. NeurIPS 2023Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
1049. NeurIPS 2023Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
1050. NeurIPS 2023Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection

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.