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

667 papers, page 10 of 14

451. NeurIPS 2024PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
452. NeurIPS 2024PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
453. NeurIPS 2024Persistence Homology Distillation for Semi-supervised Continual Learning
454. NeurIPS 2024Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
455. NeurIPS 2024PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
456. NeurIPS 2024PhyRecon: Physically Plausible Neural Scene Reconstruction
457. NeurIPS 2024Physically Compatible 3D Object Modeling from a Single Image
458. NeurIPS 2024Physics-Constrained Comprehensive Optical Neural Networks
459. NeurIPS 2024PLIP: Language-Image Pre-training for Person Representation Learning
460. NeurIPS 2024Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
461. NeurIPS 2024PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
462. NeurIPS 2024Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
463. NeurIPS 2024Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
464. NeurIPS 2024Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
465. NeurIPS 2024Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
466. NeurIPS 2024Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
467. NeurIPS 2024Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
468. NeurIPS 2024ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
469. NeurIPS 2024Prune and Repaint: Content-Aware Image Retargeting for any Ratio
470. NeurIPS 2024Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising
471. NeurIPS 2024Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing
472. NeurIPS 2024QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
473. NeurIPS 2024R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
474. NeurIPS 2024Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
475. NeurIPS 2024RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
476. NeurIPS 2024Real-time Stereo-based 3D Object Detection for Streaming Perception
477. NeurIPS 2024Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
478. NeurIPS 2024Recognize Any Regions
479. NeurIPS 2024Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model
480. NeurIPS 2024Reconstruction of Manipulated Garment with Guided Deformation Prior
481. NeurIPS 2024Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
482. NeurIPS 2024Referring Human Pose and Mask Estimation In the Wild
483. NeurIPS 2024ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
484. NeurIPS 2024ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting
485. NeurIPS 2024Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
486. NeurIPS 2024Renovating Names in Open-Vocabulary Segmentation Benchmarks
487. NeurIPS 2024ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations
488. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
489. NeurIPS 2024RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
490. NeurIPS 2024Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective
491. NeurIPS 2024Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks
492. NeurIPS 2024Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
493. NeurIPS 2024Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
494. NeurIPS 2024Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
495. NeurIPS 2024RETR: Multi-View Radar Detection Transformer for Indoor Perception
496. NeurIPS 2024Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection
497. NeurIPS 2024Revisiting Few-Shot Object Detection with Vision-Language Models
498. NeurIPS 2024Revisiting Score Propagation in Graph Out-of-Distribution Detection
499. NeurIPS 2024RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
500. NeurIPS 2024RobIR: Robust Inverse Rendering for High-Illumination Scenes

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.