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 37 of 57

1801. NeurIPS 2024DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
1802. NeurIPS 2024DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
1803. NeurIPS 2024Dense Connector for MLLMs
1804. NeurIPS 2024Depth Anything V2
1805. NeurIPS 2024Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
1806. NeurIPS 2024Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
1807. NeurIPS 2024DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
1808. NeurIPS 2024DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
1809. NeurIPS 2024DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
1810. NeurIPS 2024DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
1811. NeurIPS 2024DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
1812. NeurIPS 2024Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
1813. NeurIPS 2024DiffGS: Functional Gaussian Splatting Diffusion
1814. NeurIPS 2024DiffSF: Diffusion Models for Scene Flow Estimation
1815. NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
1816. NeurIPS 2024Diffusion Priors for Variational Likelihood Estimation and Image Denoising
1817. NeurIPS 2024Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
1818. NeurIPS 2024DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
1819. NeurIPS 2024DINTR: Tracking via Diffusion-based Interpolation
1820. NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
1821. NeurIPS 2024DisC-GS: Discontinuity-aware Gaussian Splatting
1822. NeurIPS 2024Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
1823. NeurIPS 2024DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
1824. NeurIPS 2024Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
1825. NeurIPS 2024DMesh: A Differentiable Mesh Representation
1826. NeurIPS 2024DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
1827. NeurIPS 2024DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering
1828. NeurIPS 2024Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
1829. NeurIPS 2024DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus
1830. NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors
1831. NeurIPS 2024Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
1832. NeurIPS 2024Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation
1833. NeurIPS 2024DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
1834. NeurIPS 2024DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
1835. NeurIPS 2024DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
1836. NeurIPS 2024Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
1837. NeurIPS 2024Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
1838. NeurIPS 2024Dual-Diffusion for Binocular 3D Human Pose Estimation
1839. NeurIPS 2024Dynamic 3D Gaussian Fields for Urban Areas
1840. NeurIPS 2024Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
1841. NeurIPS 2024Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
1842. NeurIPS 2024E-Motion: Future Motion Simulation via Event Sequence Diffusion
1843. NeurIPS 2024E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
1844. NeurIPS 2024EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
1845. NeurIPS 2024Easy Regional Contrastive Learning of Expressive Fashion Representations
1846. NeurIPS 2024Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
1847. NeurIPS 2024Efficient Large Multi-modal Models via Visual Context Compression
1848. NeurIPS 2024Efficient Temporal Action Segmentation via Boundary-aware Query Voting
1849. NeurIPS 2024EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
1850. NeurIPS 2024EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views

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.