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

485 papers, page 8 of 10

351. ICLR 2023Robust and Controllable Object-Centric Learning through Energy-based Models
352. ICLR 2023SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
353. ICLR 2023Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
354. ICLR 2023Semi-supervised Community Detection via Structural Similarity Metrics
355. ICLR 2023The KFIoU Loss for Rotated Object Detection
356. ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
357. ICLR 2023Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
358. ICLR 2023Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
359. ICLR 2023Towards Robust Object Detection Invariant to Real-World Domain Shifts
360. ICLR 2023Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
361. ICLR 2023Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
362. ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
363. ICLR 2023Unsupervised Model Selection for Time Series Anomaly Detection
364. ICLR 2023Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
365. ICLR 2023Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
366. ICML 2023ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
367. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
368. ICML 2023Bayesian online change point detection with Hilbert space approximate Student-t process
369. ICML 2023Deep Anomaly Detection under Labeling Budget Constraints
370. ICML 2023Delving into Noisy Label Detection with Clean Data
371. ICML 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
372. ICML 2023Detecting Out-of-distribution Data through In-distribution Class Prior
373. ICML 2023Discovering Object-Centric Generalized Value Functions From Pixels
374. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
375. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
376. ICML 2023Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
377. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
378. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
379. ICML 2023Generated Graph Detection
380. ICML 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
381. ICML 2023Interactive Object Placement with Reinforcement Learning
382. ICML 2023Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
383. ICML 2023Kernel QuantTree
384. ICML 2023Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
385. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
386. ICML 2023Multi-Modal Classifiers for Open-Vocabulary Object Detection
387. ICML 2023Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
388. ICML 2023Phase Transitions in the Detection of Correlated Databases
389. ICML 2023Prototype-oriented unsupervised anomaly detection for multivariate time series
390. ICML 2023Provably Learning Object-Centric Representations
391. ICML 2023Robust and Scalable Bayesian Online Changepoint Detection
392. ICML 2023Sequential Changepoint Detection via Backward Confidence Sequences
393. ICML 2023Slot-VAE: Object-Centric Scene Generation with Slot Attention
394. ICML 2023SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
395. ICML 2023Topological Singularity Detection at Multiple Scales
396. ICML 2023UMD: Unsupervised Model Detection for X2X Backdoor Attacks
397. ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
398. NeurIPS 20233D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
399. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
400. NeurIPS 2023AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset

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.