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

2,809 papers, page 55 of 57

2701. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
2702. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
2703. ICML 2023Generated Graph Detection
2704. ICML 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
2705. ICML 2023Interactive Object Placement with Reinforcement Learning
2706. ICML 2023Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
2707. ICML 2023Kernel QuantTree
2708. ICML 2023Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation
2709. ICML 2023Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation
2710. ICML 2023Multi-Modal Classifiers for Open-Vocabulary Object Detection
2711. ICML 2023Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
2712. ICML 2023Phase Transitions in the Detection of Correlated Databases
2713. ICML 2023Prototype-oriented unsupervised anomaly detection for multivariate time series
2714. ICML 2023Provably Learning Object-Centric Representations
2715. ICML 2023Robust and Scalable Bayesian Online Changepoint Detection
2716. ICML 2023Sequential Changepoint Detection via Backward Confidence Sequences
2717. ICML 2023Slot-VAE: Object-Centric Scene Generation with Slot Attention
2718. ICML 2023SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
2719. ICML 2023Topological Singularity Detection at Multiple Scales
2720. ICML 2023UMD: Unsupervised Model Detection for X2X Backdoor Attacks
2721. ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
2722. NeurIPS 20233D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
2723. NeurIPS 2023A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
2724. NeurIPS 2023AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
2725. NeurIPS 2023Adversarial Learning for Feature Shift Detection and Correction
2726. NeurIPS 2023AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
2727. NeurIPS 2023Are These the Same Apple? Comparing Images Based on Object Intrinsics
2728. NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
2729. NeurIPS 2023AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
2730. NeurIPS 2023Cal-DETR: Calibrated Detection Transformer
2731. NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
2732. NeurIPS 2023CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
2733. NeurIPS 2023CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
2734. NeurIPS 2023CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
2735. NeurIPS 2023CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
2736. NeurIPS 2023Color Equivariant Convolutional Networks
2737. NeurIPS 2023ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
2738. NeurIPS 2023Contrastive Training of Complex-Valued Autoencoders for Object Discovery
2739. NeurIPS 2023DAC-DETR: Divide the Attention Layers and Conquer
2740. NeurIPS 2023DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
2741. NeurIPS 2023DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
2742. NeurIPS 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
2743. NeurIPS 2023Depth-discriminative Metric Learning for Monocular 3D Object Detection
2744. NeurIPS 2023Derandomized novelty detection with FDR control via conformal e-values
2745. NeurIPS 2023Described Object Detection: Liberating Object Detection with Flexible Expressions
2746. NeurIPS 2023Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
2747. NeurIPS 2023Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image
2748. NeurIPS 2023Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
2749. NeurIPS 2023Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
2750. NeurIPS 2023Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly 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.