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

1,109 papers, page 15 of 23

701. NeurIPS 2024LiT: Unifying LiDAR "Languages" with LiDAR Translator
702. NeurIPS 2024LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering
703. NeurIPS 2024LLaNA: Large Language and NeRF Assistant
704. NeurIPS 2024LLM-Check: Investigating Detection of Hallucinations in Large Language Models
705. NeurIPS 2024LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning
706. NeurIPS 2024LocCa: Visual Pretraining with Location-aware Captioners
707. NeurIPS 2024LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss
708. NeurIPS 2024Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
709. NeurIPS 2024LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
710. NeurIPS 2024LOVA3: Learning to Visual Question Answering, Asking and Assessment
711. NeurIPS 2024LP-3DGS: Learning to Prune 3D Gaussian Splatting
712. NeurIPS 2024LRM-Zero: Training Large Reconstruction Models with Synthesized Data
713. NeurIPS 2024Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
714. NeurIPS 2024LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
715. NeurIPS 2024M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
716. NeurIPS 2024Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials
717. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
718. NeurIPS 2024MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
719. NeurIPS 2024MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
720. NeurIPS 2024ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
721. NeurIPS 2024MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
722. NeurIPS 2024Matryoshka Query Transformer for Large Vision-Language Models
723. NeurIPS 2024MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
724. NeurIPS 2024MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
725. NeurIPS 2024MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
726. NeurIPS 2024Memorize What Matters: Emergent Scene Decomposition from Multitraverse
727. NeurIPS 2024MemVLT: Vision-Language Tracking with Adaptive Memory-based Prompts
728. NeurIPS 2024MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model
729. NeurIPS 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
730. NeurIPS 2024MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
731. NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
732. NeurIPS 2024MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
733. NeurIPS 2024MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes
734. NeurIPS 2024Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
735. NeurIPS 2024Mitigating Object Hallucination via Concentric Causal Attention
736. NeurIPS 2024Mixture of Nested Experts: Adaptive Processing of Visual Tokens
737. NeurIPS 2024Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
738. NeurIPS 2024MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
739. NeurIPS 2024MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
740. NeurIPS 2024MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
741. NeurIPS 2024Motion Graph Unleashed: A Novel Approach to Video Prediction
742. NeurIPS 2024MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting
743. NeurIPS 2024Moving Off-the-Grid: Scene-Grounded Video Representations
744. NeurIPS 2024MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
745. NeurIPS 2024MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
746. NeurIPS 2024Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
747. NeurIPS 2024Multi-Object Hallucination in Vision Language Models
748. NeurIPS 2024Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree
749. NeurIPS 2024Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
750. NeurIPS 2024Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction

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.