Object Detection papers, 2023–2026
Detection and localization
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,809 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 88 | 67 | 32 | 298 | 485 |
| 2024 | 667 | 78 | 55 | 272 | 1,072 |
| 2025 | 175 | 85 | 57 | 254 | 571 |
| 2026 | 179 | 95 | 121 | 286 | 681 |
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 9 of 14
- NeurIPS 2024MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
- NeurIPS 2024Multistable Shape from Shading Emerges from Patch Diffusion
- NeurIPS 2024Multiview Scene Graph
- NeurIPS 2024MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images
- NeurIPS 2024MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
- NeurIPS 2024NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing
- NeurIPS 2024Neural Gaffer: Relighting Any Object via Diffusion
- NeurIPS 2024Neural Isometries: Taming Transformations for Equivariant ML
- NeurIPS 2024Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
- NeurIPS 2024Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
- NeurIPS 2024Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
- NeurIPS 2024NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
- NeurIPS 2024NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
- NeurIPS 2024No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
- NeurIPS 2024No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
- NeurIPS 2024NoiseGPT: Label Noise Detection and Rectification through Probability Curvature
- NeurIPS 2024Nonlinear dynamics of localization in neural receptive fields
- NeurIPS 2024Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering
- NeurIPS 2024Not Just Object, But State: Compositional Incremental Learning without Forgetting
- NeurIPS 2024Novel Object Synthesis via Adaptive Text-Image Harmony
- NeurIPS 2024NVRC: Neural Video Representation Compression
- NeurIPS 2024OccFusion: Rendering Occluded Humans with Generative Diffusion Priors
- NeurIPS 2024Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding
- NeurIPS 2024OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries
- NeurIPS 2024ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
- NeurIPS 2024ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings
- NeurIPS 2024OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
- NeurIPS 2024On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
- NeurIPS 2024On the Surprising Effectiveness of Attention Transfer for Vision Transformers
- NeurIPS 2024On the Use of Anchoring for Training Vision Models
- NeurIPS 2024On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance
- NeurIPS 2024One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
- NeurIPS 2024One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
- NeurIPS 2024One-Step Effective Diffusion Network for Real-World Image Super-Resolution
- NeurIPS 2024One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
- NeurIPS 2024OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling
- NeurIPS 2024OnlineTAS: An Online Baseline for Temporal Action Segmentation
- NeurIPS 2024OPEL: Optimal Transport Guided ProcedurE Learning
- NeurIPS 2024Open-Vocabulary Object Detection via Language Hierarchy
- NeurIPS 2024Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification
- NeurIPS 2024Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
- NeurIPS 2024OPUS: Occupancy Prediction Using a Sparse Set
- NeurIPS 2024Out-of-Distribution Detection with a Single Unconditional Diffusion Model
- NeurIPS 2024Out-Of-Distribution Detection with Diversification (Provably)
- NeurIPS 2024OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking
- NeurIPS 2024OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning
- NeurIPS 2024OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
- NeurIPS 2024Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
- NeurIPS 2024Parameter-Inverted Image Pyramid Networks
- NeurIPS 2024pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
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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.