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
1,109 papers, page 6 of 23
- NeurIPS 2025InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition
- NeurIPS 2025Interactive Anomaly Detection for Articulated Objects via Motion Anticipation
- NeurIPS 2025IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
- NeurIPS 2025Knowledge Distillation Detection for Open-weights Models
- NeurIPS 2025LabelAny3D: Label Any Object 3D in the Wild
- NeurIPS 2025Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
- NeurIPS 2025Learning Human-Object Interaction as Groups
- NeurIPS 2025Learning Interactive World Model for Object-Centric Reinforcement Learning
- NeurIPS 2025Learning to Generate Human-Human-Object Interactions from Textual Descriptions
- NeurIPS 2025Learning to Zoom with Anatomical Relations for Medical Structure Detection
- NeurIPS 2025Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
- NeurIPS 2025MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
- NeurIPS 2025Memory by accident: a theory of learning as a byproduct of network stabilization
- NeurIPS 2025MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
- NeurIPS 2025MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
- NeurIPS 2025Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities
- NeurIPS 2025MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
- NeurIPS 2025MobileODE: An Extra Lightweight Network
- NeurIPS 2025Multimodal Causal Reasoning for UAV Object Detection
- NeurIPS 2025Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
- NeurIPS 2025Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
- NeurIPS 2025Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
- NeurIPS 2025Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
- NeurIPS 2025No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models
- NeurIPS 2025Normal-Abnormal Guided Generalist Anomaly Detection
- NeurIPS 2025Object Concepts Emerge from Motion
- NeurIPS 2025Object-centric 3D Motion Field for Robot Learning from Human Videos
- NeurIPS 2025Object-Centric Concept-Bottlenecks
- NeurIPS 2025Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
- NeurIPS 2025Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations
- NeurIPS 2025On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
- NeurIPS 2025On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
- NeurIPS 2025On the SAC-BL Algorithm for Anomaly Detection
- NeurIPS 2025OOD Detection with Relative Angles
- NeurIPS 2025OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
- NeurIPS 2025OpenBox: Annotate Any Bounding Boxes in 3D
- NeurIPS 2025OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model
- NeurIPS 2025Optimal community detection in dense bipartite graphs
- NeurIPS 2025Optimal Online Change Detection via Random Fourier Features
- NeurIPS 2025Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
- NeurIPS 2025PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
- NeurIPS 2025Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection
- NeurIPS 2025Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
- NeurIPS 2025Preference-Based Dynamic Ranking Structure Recognition
- NeurIPS 2025Promptable 3-D Object Localization with Latent Diffusion Models
- NeurIPS 2025Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
- NeurIPS 2025RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
- NeurIPS 2025Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
- NeurIPS 2025ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
- NeurIPS 2025Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
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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.