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 22 of 23

1051. NeurIPS 2023DVSOD: RGB-D Video Salient Object Detection
1052. NeurIPS 2023EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
1053. NeurIPS 2023Exploiting Contextual Objects and Relations for 3D Visual Grounding
1054. NeurIPS 2023Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
1055. NeurIPS 2023Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
1056. NeurIPS 2023Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
1057. NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
1058. NeurIPS 2023FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
1059. NeurIPS 2023From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models
1060. NeurIPS 2023Generative Category-level Object Pose Estimation via Diffusion Models
1061. NeurIPS 2023GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
1062. NeurIPS 2023Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
1063. NeurIPS 2023GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
1064. NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
1065. NeurIPS 2023HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
1066. NeurIPS 2023HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
1067. NeurIPS 2023Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
1068. NeurIPS 2023IDRNet: Intervention-Driven Relation Network for Semantic Segmentation
1069. NeurIPS 2023Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
1070. NeurIPS 2023Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
1071. NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning
1072. NeurIPS 2023Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
1073. NeurIPS 2023Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection
1074. NeurIPS 2023M$^{2}$SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors
1075. NeurIPS 2023MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
1076. NeurIPS 2023MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues
1077. NeurIPS 2023Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization
1078. NeurIPS 2023Multi-modal Queried Object Detection in the Wild
1079. NeurIPS 2023Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection
1080. NeurIPS 2023Neural-Logic Human-Object Interaction Detection
1081. NeurIPS 2023Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
1082. NeurIPS 2023On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
1083. NeurIPS 2023Online Corrupted User Detection and Regret Minimization
1084. NeurIPS 2023Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
1085. NeurIPS 2023Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
1086. NeurIPS 2023PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
1087. NeurIPS 2023PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
1088. NeurIPS 2023PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
1089. NeurIPS 2023PrObeD: Proactive Object Detection Wrapper
1090. NeurIPS 2023Prototypical Variational Autoencoder for 3D Few-shot Object Detection
1091. NeurIPS 2023Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
1092. NeurIPS 2023RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection
1093. NeurIPS 2023Rank-DETR for High Quality Object Detection
1094. NeurIPS 2023Reading Relevant Feature from Global Representation Memory for Visual Object Tracking
1095. NeurIPS 2023SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection
1096. NeurIPS 2023Scaling Open-Vocabulary Object Detection
1097. NeurIPS 2023Single-Stage Visual Query Localization in Egocentric Videos
1098. NeurIPS 2023Spatial-frequency channels, shape bias, and adversarial robustness
1099. NeurIPS 2023Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
1100. NeurIPS 2023STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object 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.