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 7 of 14

301. NeurIPS 2024In-Context Symmetries: Self-Supervised Learning through Contextual World Models
302. NeurIPS 2024In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment
303. NeurIPS 2024Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
304. NeurIPS 2024Interfacing Foundation Models' Embeddings
305. NeurIPS 2024InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
306. NeurIPS 2024Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
307. NeurIPS 2024IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
308. NeurIPS 2024IPO: Interpretable Prompt Optimization for Vision-Language Models
309. NeurIPS 2024Is Function Similarity Over-Engineered? Building a Benchmark
310. NeurIPS 2024Is Multiple Object Tracking a Matter of Specialization?
311. NeurIPS 2024Is Your LiDAR Placement Optimized for 3D Scene Understanding?
312. NeurIPS 2024Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
313. NeurIPS 2024Kernel PCA for Out-of-Distribution Detection
314. NeurIPS 2024Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
315. NeurIPS 2024Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
316. NeurIPS 2024KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
317. NeurIPS 2024Large Spatial Model: End-to-end Unposed Images to Semantic 3D
318. NeurIPS 2024LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction
319. NeurIPS 2024Latent Intrinsics Emerge from Training to Relight
320. NeurIPS 2024LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
321. NeurIPS 2024Learning 1D Causal Visual Representation with De-focus Attention Networks
322. NeurIPS 2024Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
323. NeurIPS 2024Learning Bregman Divergences with Application to Robustness
324. NeurIPS 2024Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
325. NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery
326. NeurIPS 2024Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
327. NeurIPS 2024Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation
328. NeurIPS 2024Learning from Offline Foundation Features with Tensor Augmentations
329. NeurIPS 2024Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars
330. NeurIPS 2024Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
331. NeurIPS 2024Learning Segmentation from Point Trajectories
332. NeurIPS 2024Learning to Decouple the Lights for 3D Face Texture Modeling
333. NeurIPS 2024Learning to Edit Visual Programs with Self-Supervision
334. NeurIPS 2024Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
335. NeurIPS 2024Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
336. NeurIPS 2024Learning Transferable Features for Implicit Neural Representations
337. NeurIPS 2024Learning Truncated Causal History Model for Video Restoration
338. NeurIPS 2024LESS: Label-Efficient and Single-Stage Referring 3D Segmentation
339. NeurIPS 2024Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
340. NeurIPS 2024Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
341. NeurIPS 2024Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
342. NeurIPS 2024LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
343. NeurIPS 2024LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
344. NeurIPS 2024Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
345. NeurIPS 2024Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
346. NeurIPS 2024LION: Linear Group RNN for 3D Object Detection in Point Clouds
347. NeurIPS 2024LiT: Unifying LiDAR "Languages" with LiDAR Translator
348. NeurIPS 2024LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering
349. NeurIPS 2024LLaNA: Large Language and NeRF Assistant
350. NeurIPS 2024LLM-Check: Investigating Detection of Hallucinations in Large Language 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.