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

1,072 papers, page 16 of 22

751. NeurIPS 2024LION: Linear Group RNN for 3D Object Detection in Point Clouds
752. NeurIPS 2024LiT: Unifying LiDAR "Languages" with LiDAR Translator
753. NeurIPS 2024LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering
754. NeurIPS 2024LLaNA: Large Language and NeRF Assistant
755. NeurIPS 2024LLM-Check: Investigating Detection of Hallucinations in Large Language Models
756. NeurIPS 2024LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning
757. NeurIPS 2024LocCa: Visual Pretraining with Location-aware Captioners
758. NeurIPS 2024LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss
759. NeurIPS 2024Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
760. NeurIPS 2024LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
761. NeurIPS 2024LOVA3: Learning to Visual Question Answering, Asking and Assessment
762. NeurIPS 2024LP-3DGS: Learning to Prune 3D Gaussian Splatting
763. NeurIPS 2024LRM-Zero: Training Large Reconstruction Models with Synthesized Data
764. NeurIPS 2024Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
765. NeurIPS 2024LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
766. NeurIPS 2024M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
767. NeurIPS 2024Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials
768. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
769. NeurIPS 2024MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
770. NeurIPS 2024MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
771. NeurIPS 2024ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
772. NeurIPS 2024MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
773. NeurIPS 2024Matryoshka Query Transformer for Large Vision-Language Models
774. NeurIPS 2024MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
775. NeurIPS 2024MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
776. NeurIPS 2024MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
777. NeurIPS 2024Memorize What Matters: Emergent Scene Decomposition from Multitraverse
778. NeurIPS 2024MemVLT: Vision-Language Tracking with Adaptive Memory-based Prompts
779. NeurIPS 2024MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model
780. NeurIPS 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
781. NeurIPS 2024MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
782. NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
783. NeurIPS 2024MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
784. NeurIPS 2024MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes
785. NeurIPS 2024Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
786. NeurIPS 2024Mitigating Object Hallucination via Concentric Causal Attention
787. NeurIPS 2024Mixture of Nested Experts: Adaptive Processing of Visual Tokens
788. NeurIPS 2024Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
789. NeurIPS 2024MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
790. NeurIPS 2024MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
791. NeurIPS 2024MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
792. NeurIPS 2024Motion Graph Unleashed: A Novel Approach to Video Prediction
793. NeurIPS 2024MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting
794. NeurIPS 2024Moving Off-the-Grid: Scene-Grounded Video Representations
795. NeurIPS 2024MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution
796. NeurIPS 2024MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction
797. NeurIPS 2024Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
798. NeurIPS 2024Multi-Object Hallucination in Vision Language Models
799. NeurIPS 2024Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree
800. NeurIPS 2024Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model

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.