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

175 papers, page 2 of 4

51. NeurIPS 2025Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
52. NeurIPS 2025FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies
53. NeurIPS 2025ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
54. NeurIPS 2025ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
55. NeurIPS 2025FORLA: Federated Object-centric Representation Learning with Slot Attention
56. NeurIPS 2025Fortifying Time Series: DTW-Certified Robust Anomaly Detection
57. NeurIPS 2025FrameShield: Adversarially Robust Video Anomaly Detection
58. NeurIPS 2025Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
59. NeurIPS 2025Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians
60. NeurIPS 2025Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
61. NeurIPS 2025Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection
62. NeurIPS 2025GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
63. NeurIPS 2025GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
64. NeurIPS 2025GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset
65. NeurIPS 2025Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
66. NeurIPS 2025GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
67. NeurIPS 2025Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
68. NeurIPS 2025HOComp: Interaction-Aware Human-Object Composition
69. NeurIPS 2025Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
70. NeurIPS 2025IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning
71. NeurIPS 2025InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection
72. NeurIPS 2025InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition
73. NeurIPS 2025Interactive Anomaly Detection for Articulated Objects via Motion Anticipation
74. NeurIPS 2025IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
75. NeurIPS 2025Knowledge Distillation Detection for Open-weights Models
76. NeurIPS 2025LabelAny3D: Label Any Object 3D in the Wild
77. NeurIPS 2025Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
78. NeurIPS 2025Learning Human-Object Interaction as Groups
79. NeurIPS 2025Learning Interactive World Model for Object-Centric Reinforcement Learning
80. NeurIPS 2025Learning to Generate Human-Human-Object Interactions from Textual Descriptions
81. NeurIPS 2025Learning to Zoom with Anatomical Relations for Medical Structure Detection
82. NeurIPS 2025Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
83. NeurIPS 2025MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
84. NeurIPS 2025Memory by accident: a theory of learning as a byproduct of network stabilization
85. NeurIPS 2025MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
86. NeurIPS 2025MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
87. NeurIPS 2025Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities
88. NeurIPS 2025MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
89. NeurIPS 2025MobileODE: An Extra Lightweight Network
90. NeurIPS 2025Multimodal Causal Reasoning for UAV Object Detection
91. NeurIPS 2025Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
92. NeurIPS 2025Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
93. NeurIPS 2025Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
94. NeurIPS 2025Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
95. NeurIPS 2025No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models
96. NeurIPS 2025Normal-Abnormal Guided Generalist Anomaly Detection
97. NeurIPS 2025Object Concepts Emerge from Motion
98. NeurIPS 2025Object-centric 3D Motion Field for Robot Learning from Human Videos
99. NeurIPS 2025Object-Centric Concept-Bottlenecks
100. NeurIPS 2025Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction

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.