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

1,072 papers, page 11 of 22

501. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
502. NeurIPS 2024CigTime: Corrective Instruction Generation Through Inverse Motion Editing
503. NeurIPS 2024CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
504. NeurIPS 2024CLIP in Mirror: Disentangling text from visual images through reflection
505. NeurIPS 2024CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
506. NeurIPS 2024CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
507. NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
508. NeurIPS 2024CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
509. NeurIPS 2024CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
510. NeurIPS 2024CogVLM: Visual Expert for Pretrained Language Models
511. NeurIPS 2024Coherent 3D Scene Diffusion From a Single RGB Image
512. NeurIPS 2024Color-Oriented Redundancy Reduction in Dataset Distillation
513. NeurIPS 2024Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
514. NeurIPS 2024Community Detection Guarantees using Embeddings Learned by Node2Vec
515. NeurIPS 2024ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
516. NeurIPS 2024Conditional Controllable Image Fusion
517. NeurIPS 2024Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
518. NeurIPS 2024Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
519. NeurIPS 2024Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
520. NeurIPS 2024Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
521. NeurIPS 2024Consensus Learning with Deep Sets for Essential Matrix Estimation
522. NeurIPS 2024ConStat: Performance-Based Contamination Detection in Large Language Models
523. NeurIPS 2024Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
524. NeurIPS 2024ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model
525. NeurIPS 2024Continual Learning in the Frequency Domain
526. NeurIPS 2024Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
527. NeurIPS 2024Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
528. NeurIPS 2024Convolutional Differentiable Logic Gate Networks
529. NeurIPS 2024Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
530. NeurIPS 2024CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise
531. NeurIPS 2024CountGD: Multi-Modal Open-World Counting
532. NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
533. NeurIPS 2024Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation
534. NeurIPS 2024Cross-video Identity Correlating for Person Re-identification Pre-training
535. NeurIPS 2024CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection
536. NeurIPS 2024CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
537. NeurIPS 2024Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
538. NeurIPS 2024CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
539. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
540. NeurIPS 2024DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
541. NeurIPS 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
542. NeurIPS 2024DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
543. NeurIPS 2024DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
544. NeurIPS 2024DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor
545. NeurIPS 2024DeBaRA: Denoising-Based 3D Room Arrangement Generation
546. NeurIPS 2024Decoupled Kullback-Leibler Divergence Loss
547. NeurIPS 2024Deep Correlated Prompting for Visual Recognition with Missing Modalities
548. NeurIPS 2024Deep Support Vectors
549. NeurIPS 2024DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
550. NeurIPS 2024DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering

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.