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 13 of 14

601. NeurIPS 2024UMB: Understanding Model Behavior for Open-World Object Detection
602. NeurIPS 2024UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
603. NeurIPS 2024Uncertainty-aware Fine-tuning of Segmentation Foundation Models
604. NeurIPS 2024Understanding Bias in Large-Scale Visual Datasets
605. NeurIPS 2024Understanding Multi-Granularity for Open-Vocabulary Part Segmentation
606. NeurIPS 2024UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
607. NeurIPS 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
608. NeurIPS 2024Unified Generative and Discriminative Training for Multi-modal Large Language Models
609. NeurIPS 2024Unified Lexical Representation for Interpretable Visual-Language Alignment
610. NeurIPS 2024UniGAD: Unifying Multi-level Graph Anomaly Detection
611. NeurIPS 2024UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes
612. NeurIPS 2024UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
613. NeurIPS 2024Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark
614. NeurIPS 2024Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
615. NeurIPS 2024Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need?
616. NeurIPS 2024Unsupervised Anomaly Detection in The Presence of Missing Values
617. NeurIPS 2024Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
618. NeurIPS 2024Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
619. NeurIPS 2024Unsupervised Object Detection with Theoretical Guarantees
620. NeurIPS 2024Unveiling Encoder-Free Vision-Language Models
621. NeurIPS 2024Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
622. NeurIPS 2024UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond
623. NeurIPS 2024UV-free Texture Generation with Denoising and Geodesic Heat Diffusion
624. NeurIPS 2024Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
625. NeurIPS 2024VastTrack: Vast Category Visual Object Tracking
626. NeurIPS 2024VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
627. NeurIPS 2024Vector Quantization Prompting for Continual Learning
628. NeurIPS 2024VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception
629. NeurIPS 2024VFIMamba: Video Frame Interpolation with State Space Models
630. NeurIPS 2024Video Token Merging for Long Video Understanding
631. NeurIPS 2024VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
632. NeurIPS 2024Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients
633. NeurIPS 2024Vision Foundation Model Enables Generalizable Object Pose Estimation
634. NeurIPS 2024Vision Mamba Mender
635. NeurIPS 2024Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
636. NeurIPS 2024Vision-Language Models are Strong Noisy Label Detectors
637. NeurIPS 2024VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
638. NeurIPS 2024VisMin: Visual Minimal-Change Understanding
639. NeurIPS 2024Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
640. NeurIPS 2024Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
641. NeurIPS 2024Visual Fourier Prompt Tuning
642. NeurIPS 2024Visual Prompt Tuning in Null Space for Continual Learning
643. NeurIPS 2024VMamba: Visual State Space Model
644. NeurIPS 2024Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
645. NeurIPS 2024Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion
646. NeurIPS 2024VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization
647. NeurIPS 2024Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
648. NeurIPS 2024Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
649. NeurIPS 2024WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
650. NeurIPS 2024WeiPer: OOD Detection using Weight Perturbations of Class Projections

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.