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

265 papers, page 5 of 6

201. ICML 2024Hierarchical Novelty Detection via Fine-Grained Evidence Allocation
202. ICML 2024IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency
203. ICML 2024Incremental Topological Ordering and Cycle Detection with Predictions
204. ICML 2024Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
205. ICML 2024Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
206. ICML 2024Learning Causal Dynamics Models in Object-Oriented Environments
207. ICML 2024Measuring Stochastic Data Complexity with Boltzmann Influence Functions
208. ICML 2024Network Tight Community Detection
209. ICML 2024NExT-Chat: An LMM for Chat, Detection and Segmentation
210. ICML 2024Non-parametric Online Change Point Detection on Riemannian Manifolds
211. ICML 2024ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
212. ICML 2024Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
213. ICML 2024Outlier-robust Kalman Filtering through Generalised Bayes
214. ICML 2024PAGER: Accurate Failure Characterization in Deep Regression Models
215. ICML 2024Position: On the Possibilities of AI-Generated Text Detection
216. ICML 2024Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
217. ICML 2024Proactive Detection of Voice Cloning with Localized Watermarking
218. ICML 2024QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning
219. ICML 2024Receptive Fields As Experts in Convolutional Neural Architectures
220. ICML 2024Reducing sequential change detection to sequential estimation
221. ICML 2024RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
222. ICML 2024SCoRe: Submodular Combinatorial Representation Learning
223. ICML 2024Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
224. ICML 2024Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
225. ICML 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
226. ICML 2024Stochastic Localization via Iterative Posterior Sampling
227. ICML 2024Towards Unified Multi-granularity Text Detection with Interactive Attention
228. ICML 2024Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence
229. ICML 2024Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
230. ICML 2024Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
231. ICML 2024VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
232. ICML 2024VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model
233. ICML 2024When and How Does In-Distribution Label Help Out-of-Distribution Detection?
234. ICML 2023ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
235. ICML 2023Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
236. ICML 2023Bayesian online change point detection with Hilbert space approximate Student-t process
237. ICML 2023Deep Anomaly Detection under Labeling Budget Constraints
238. ICML 2023Delving into Noisy Label Detection with Clean Data
239. ICML 2023DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
240. ICML 2023Detecting Out-of-distribution Data through In-distribution Class Prior
241. ICML 2023Discovering Object-Centric Generalized Value Functions From Pixels
242. ICML 2023Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
243. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
244. ICML 2023Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
245. ICML 2023Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
246. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
247. ICML 2023Generated Graph Detection
248. ICML 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
249. ICML 2023Interactive Object Placement with Reinforcement Learning
250. ICML 2023Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames

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.