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

175 papers, page 4 of 4

151. NeurIPS 2025T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
152. NeurIPS 2025Test-Time Adaptive Object Detection with Foundation Model
153. NeurIPS 2025The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
154. NeurIPS 2025TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving
155. NeurIPS 2025Towards 3D Objectness Learning in an Open World
156. NeurIPS 2025Towards Reliable Identification of Diffusion-based Image Manipulations
157. NeurIPS 2025Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
158. NeurIPS 2025Tracking and Understanding Object Transformations
159. NeurIPS 2025Training-free Detection of AI-generated images via Cropping Robustness
160. NeurIPS 2025Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection
161. NeurIPS 2025Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection
162. NeurIPS 2025UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification
163. NeurIPS 2025Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
164. NeurIPS 2025Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
165. NeurIPS 2025Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
166. NeurIPS 2025UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
167. NeurIPS 2025VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
168. NeurIPS 2025Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
169. NeurIPS 2025Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting
170. NeurIPS 2025VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion
171. NeurIPS 2025VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models
172. NeurIPS 2025VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection
173. NeurIPS 2025X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection
174. NeurIPS 2025YOLOv12: Attention-Centric Real-Time Object Detectors
175. NeurIPS 2025Zero-Shot Detection of LLM-Generated Text via Implicit Reward 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.