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

571 papers, page 8 of 12

351. ICML 2025Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
352. ICML 2025Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
353. ICML 2025FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
354. ICML 2025Feature Shift Localization Network
355. ICML 2025Few-Shot Learner Generalizes Across AI-Generated Image Detection
356. ICML 2025Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices
357. ICML 2025Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
358. ICML 2025Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
359. ICML 2025Identifiable Object Representations under Spatial Ambiguities
360. ICML 2025iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
361. ICML 2025Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
362. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
363. ICML 2025Learning Changes in Graphon Attachment Network Models
364. ICML 2025Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
365. ICML 2025LEMoN: Label Error Detection using Multimodal Neighbors
366. ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
367. ICML 2025LLMScan: Causal Scan for LLM Misbehavior Detection
368. ICML 2025LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
369. ICML 2025Mahalanobis++: Improving OOD Detection via Feature Normalization
370. ICML 2025More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions
371. ICML 2025Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
372. ICML 2025Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
373. ICML 2025Open-Det: An Efficient Learning Framework for Open-Ended Detection
374. ICML 2025Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
375. ICML 2025Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
376. ICML 2025Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
377. ICML 2025OW-VAP: Visual Attribute Parsing for Open World Object Detection
378. ICML 2025PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals
379. ICML 2025PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
380. ICML 2025Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
381. ICML 2025QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
382. ICML 2025Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
383. ICML 2025Robust Conformal Outlier Detection under Contaminated Reference Data
384. ICML 2025RUN: Reversible Unfolding Network for Concealed Object Segmentation
385. ICML 2025Sample Complexity of Correlation Detection in the Gaussian Wigner Model
386. ICML 2025Self-Discriminative Modeling for Anomalous Graph Detection
387. ICML 2025Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
388. ICML 2025SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
389. ICML 2025Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
390. ICML 2025Statistical Test for Feature Selection Pipelines by Selective Inference
391. ICML 2025Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
392. ICML 2025Steer LLM Latents for Hallucination Detection
393. ICML 2025Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation
394. ICML 2025Towards a Unified Framework of Clustering-based Anomaly Detection
395. ICML 2025Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
396. ICML 2025Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
397. NeurIPS 2025$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
398. NeurIPS 2025$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
399. NeurIPS 2025A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
400. NeurIPS 2025AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees

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.