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 5 of 14

201. NeurIPS 2024EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
202. NeurIPS 2024Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
203. NeurIPS 2024Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data
204. NeurIPS 2024ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
205. NeurIPS 2024Evaluating Multiview Object Consistency in Humans and Image Models
206. NeurIPS 2024Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting
207. NeurIPS 2024Expanding Sparse Tuning for Low Memory Usage
208. NeurIPS 2024Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
209. NeurIPS 2024Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
210. NeurIPS 2024Exploiting Representation Curvature for Boundary Detection in Time Series
211. NeurIPS 2024Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
212. NeurIPS 2024Exploring Token Pruning in Vision State Space Models
213. NeurIPS 2024Expressive Gaussian Human Avatars from Monocular RGB Video
214. NeurIPS 2024Extending Video Masked Autoencoders to 128 frames
215. NeurIPS 2024EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
216. NeurIPS 2024Fast Encoder-Based 3D from Casual Videos via Point Track Processing
217. NeurIPS 2024FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
218. NeurIPS 2024Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification
219. NeurIPS 2024FedAvP: Augment Local Data via Shared Policy in Federated Learning
220. NeurIPS 2024Federated Black-Box Adaptation for Semantic Segmentation
221. NeurIPS 2024FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation
222. NeurIPS 2024Fetch and Forge: Efficient Dataset Condensation for Object Detection
223. NeurIPS 2024FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
224. NeurIPS 2024FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
225. NeurIPS 2024Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
226. NeurIPS 2024Fine-Tuning is Fine, if Calibrated
227. NeurIPS 2024FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding
228. NeurIPS 2024Flatten Anything: Unsupervised Neural Surface Parameterization
229. NeurIPS 2024Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM
230. NeurIPS 2024FlexCap: Describe Anything in Images in Controllable Detail
231. NeurIPS 2024Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
232. NeurIPS 2024FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
233. NeurIPS 2024Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
234. NeurIPS 2024Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion
235. NeurIPS 2024FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes
236. NeurIPS 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
237. NeurIPS 2024From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos
238. NeurIPS 2024From Chaos to Clarity: 3DGS in the Dark
239. NeurIPS 2024From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS
240. NeurIPS 2024Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models
241. NeurIPS 2024Frustratingly Easy Test-Time Adaptation of Vision-Language Models
242. NeurIPS 2024FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
243. NeurIPS 2024Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products
244. NeurIPS 2024Fully Explicit Dynamic Gaussian Splatting
245. NeurIPS 2024Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
246. NeurIPS 2024GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting
247. NeurIPS 2024General Detection-based Text Line Recognition
248. NeurIPS 2024Generalizable and Animatable Gaussian Head Avatar
249. NeurIPS 2024Generalizable Implicit Motion Modeling for Video Frame Interpolation
250. NeurIPS 2024Generalizable Person Re-identification via Balancing Alignment and Uniformity

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.