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

681 papers, page 10 of 14

451. ICML 2026Learning Attribute–Affordance Hierarchies in Hyperbolic Space for Open-Vocabulary 3D Object Affordance Grounding
452. ICML 2026Learning Tight Rejection Boundaries without Negatives for Strict One-Class Audio Deepfake Detection
453. ICML 2026LLM Self-Recognition: Steering and Retrieving Activation Signatures
454. ICML 2026LORD-GoF: A Robust Online Detection Approach for LLM Watermarks in Sparse and Mixed Streams
455. ICML 2026Memory-Distilled Selection for Noise-Robust Anomaly Detection
456. ICML 2026MFH-NAS:A Hybrid Neural Architecture Search Framework for Multimodal Fusion Object Detection
457. ICML 2026MV-FGAD: Towards Efficient and Effective Federated Graph Anomaly Detection via Multi-view Learning
458. ICML 2026Noise-Robust Density Estimation for Tabular Data Anomaly Detection
459. ICML 2026Normality Calibration in Semi-supervised Graph Anomaly Detection
460. ICML 2026Object-level Semantic and Spatial Distillation for Open Vocabulary Detection
461. ICML 2026ObjEmbed: Towards Universal Multimodal Object Embeddings
462. ICML 2026OBJVanish: Prompt-Driven Generation of Physically Realizable 3D LiDAR-Invisible Objects
463. ICML 2026On the Salience of Low-Probability Tokens for AI-Generated Text Detection: A Multiscale Uncertainty Perspective
464. ICML 2026One Probe Won’t Catch Them All: Towards Targeted Deception Detection
465. ICML 2026OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection
466. ICML 2026PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection
467. ICML 2026Plan, Decouple, Assimilate: Physics-Aware Object Insertion in Remote Sensing Imagery
468. ICML 2026PMSPO: Progressive Matching and Semantic-Aware Policy Optimization for Camouflaged Object Detection
469. ICML 2026Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
470. ICML 2026Provable Training Data Identification for Large Language Models
471. ICML 2026QuantWear: Quantum-scale Wear Particle Detection for Jet Engine Diagnosis
472. ICML 2026RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry
473. ICML 2026Radial Scaling Voxelization for Accurate Small Object 3D Detection
474. ICML 2026Real Data Lies: Unveiling and Closing the Quality Shortcut in Generalizable AI-Generated Video Detection
475. ICML 2026Reliable Neighborhood-Aware Multi-View Outlier Detection
476. ICML 2026RELO: Reinforcement Learning to Localize for Visual Object Tracking
477. ICML 2026Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models
478. ICML 2026Rethinking Pretraining Data Detection for LLMs: From Local to Global
479. ICML 2026Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
480. ICML 2026REVIS: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
481. ICML 2026SCoA: Revisiting Domain Generalized Object Detection with Style-Conditioned Adaptation
482. ICML 2026Singular Bayesian Neural Networks
483. ICML 2026SLIP-RS: Structured-Attribute Language-Image Pre-Training for Remote Sensing Object Detection
484. ICML 2026Smoothing Slot Attention Iterations and Recurrences
485. ICML 2026SONAR: Spectral‑Contrastive Audio Residuals for Generalizable Deepfake Detection
486. ICML 2026SPUR: Scale-Partitioned Uncertainty Rectification for Robust UAV-on-UAV Interception
487. ICML 2026Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text
488. ICML 2026STORM: Segment, Track, and Object Re-Localization from a Single Image
489. ICML 2026Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection
490. ICML 2026T-measure: A Topology-Consistent Metric for Binary Segmentation
491. ICML 2026TeamWork: Multivariate Time Series Anomaly Detection via Asymmetric Role-aware Channel Modeling
492. ICML 2026Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection
493. ICML 2026Testing For Distribution Shifts with Conditional Conformal Test Martingales
494. ICML 2026Token-Efficient Change Detection in LLM APIs
495. ICML 2026Transfer Learning in High-dimensional Ising Models
496. ICML 2026TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation
497. ICML 2026Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection
498. ICML 2026Unsupervised Camouflaged Object Detection with Dual-Eigenvector Spectral Pseudo-Labeling and Contrastive Refinement
499. ICML 2026VSCD: Video-based Scene Change Detection in Unaligned Scenes
500. ICML 2026WatchLog: Efficient and Interpretable Event Reasoning for Endpoint Detection and Response Logs with Multimodal LLMs

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.