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

325 papers, page 5 of 7

201. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
202. ICLR 2024DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
203. ICLR 2024DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
204. ICLR 2024DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
205. ICLR 2024DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
206. ICLR 2024Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
207. ICLR 2024Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
208. ICLR 2024Few-Shot Detection of Machine-Generated Text using Style Representations
209. ICLR 2024Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
210. ICLR 2024GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
211. ICLR 2024Grounded Object-Centric Learning
212. ICLR 2024H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
213. ICLR 2024How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
214. ICLR 2024How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
215. ICLR 2024ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
216. ICLR 2024Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction
217. ICLR 2024INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
218. ICLR 2024InstructDET: Diversifying Referring Object Detection with Generalized Instructions
219. ICLR 2024Learning dynamic representations of the functional connectome in neurobiological networks
220. ICLR 2024Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
221. ICLR 2024Learning with Mixture of Prototypes for Out-of-Distribution Detection
222. ICLR 2024LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
223. ICLR 2024LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
224. ICLR 2024Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
225. ICLR 2024MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
226. ICLR 2024MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
227. ICLR 2024MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
228. ICLR 2024Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
229. ICLR 2024Multiscale Positive-Unlabeled Detection of AI-Generated Texts
230. ICLR 2024NECO: NEural Collapse Based Out-of-distribution detection
231. ICLR 2024Negative Label Guided OOD Detection with Pretrained Vision-Language Models
232. ICLR 2024Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
233. ICLR 2024Object centric architectures enable efficient causal representation learning
234. ICLR 2024Object-Centric Learning with Slot Mixture Module
235. ICLR 2024On Diffusion Modeling for Anomaly Detection
236. ICLR 2024Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
237. ICLR 2024Out-of-Distribution Detection with Negative Prompts
238. ICLR 2024Partitioning Message Passing for Graph Fraud Detection
239. ICLR 2024PBADet: A One-Stage Anchor-Free Approach for Part-Body Association
240. ICLR 2024Plugin estimators for selective classification with out-of-distribution detection
241. ICLR 2024Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
242. ICLR 2024Pre-training LiDAR-based 3D Object Detectors through Colorization
243. ICLR 2024Provable Compositional Generalization for Object-Centric Learning
244. ICLR 2024Raidar: geneRative AI Detection viA Rewriting
245. ICLR 2024Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
246. ICLR 2024Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
247. ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
248. ICLR 2024SPDER: Semiperiodic Damping-Enabled Object Representation
249. ICLR 2024Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
250. ICLR 2024The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models

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.