目标检测论文趋势 2023–2026
检测与定位
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 2,809 篇被归入该主题的论文。
主要结论
- 目标检测论文从 2023 年的 485 篇增长到 2026 年的 681 篇,三年间扩大到约 1.4 倍。
- CVPR 是发目标检测论文最多的会议,2023–2026 年共 1,110 篇,占四个会议总量的 40%。
- 交叉方向里涨得最快的是扩散模型:同时属于两个主题的论文从 2023 年的 11 篇增至 2026 年的 39 篇。
- 在「计算机视觉」的 5 个主题里,它的 2026 年论文数排第 4;同组增长最快的视频理解是 2.6 倍,目标检测是 1.4 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 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 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- 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
全部目标检测论文
共 1,072 篇,第 11 / 22 页
- NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
- NeurIPS 2024CigTime: Corrective Instruction Generation Through Inverse Motion Editing
- NeurIPS 2024CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
- NeurIPS 2024CLIP in Mirror: Disentangling text from visual images through reflection
- NeurIPS 2024CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
- NeurIPS 2024CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
- NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
- NeurIPS 2024CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
- NeurIPS 2024CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
- NeurIPS 2024CogVLM: Visual Expert for Pretrained Language Models
- NeurIPS 2024Coherent 3D Scene Diffusion From a Single RGB Image
- NeurIPS 2024Color-Oriented Redundancy Reduction in Dataset Distillation
- NeurIPS 2024Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
- NeurIPS 2024Community Detection Guarantees using Embeddings Learned by Node2Vec
- NeurIPS 2024ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
- NeurIPS 2024Conditional Controllable Image Fusion
- NeurIPS 2024Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
- NeurIPS 2024Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
- NeurIPS 2024Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
- NeurIPS 2024Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
- NeurIPS 2024Consensus Learning with Deep Sets for Essential Matrix Estimation
- NeurIPS 2024ConStat: Performance-Based Contamination Detection in Large Language Models
- NeurIPS 2024Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
- NeurIPS 2024ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model
- NeurIPS 2024Continual Learning in the Frequency Domain
- NeurIPS 2024Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
- NeurIPS 2024Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
- NeurIPS 2024Convolutional Differentiable Logic Gate Networks
- NeurIPS 2024Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
- NeurIPS 2024CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise
- NeurIPS 2024CountGD: Multi-Modal Open-World Counting
- NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
- NeurIPS 2024Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation
- NeurIPS 2024Cross-video Identity Correlating for Person Re-identification Pre-training
- NeurIPS 2024CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection
- NeurIPS 2024CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
- NeurIPS 2024Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
- NeurIPS 2024CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
- NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
- NeurIPS 2024DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
- NeurIPS 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
- NeurIPS 2024DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
- NeurIPS 2024DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
- NeurIPS 2024DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor
- NeurIPS 2024DeBaRA: Denoising-Based 3D Room Arrangement Generation
- NeurIPS 2024Decoupled Kullback-Leibler Divergence Loss
- NeurIPS 2024Deep Correlated Prompting for Visual Recognition with Missing Modalities
- NeurIPS 2024Deep Support Vectors
- NeurIPS 2024DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
- NeurIPS 2024DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查目标检测在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "object-detection"}
常见问题
- 2023–2026 年四大会议一共有多少篇目标检测论文?
- 共 2,809 篇,按年份分别是 2023 年 485 篇、2024 年 1,072 篇、2025 年 571 篇、2026 年 681 篇。
- NeurIPS 2026 有多少篇目标检测论文?
- NeurIPS 2026 有 179 篇目标检测论文,上一届是 175 篇。
- ICLR 2026 有多少篇目标检测论文?
- ICLR 2026 有 95 篇目标检测论文,上一届是 85 篇。
- ICML 2026 有多少篇目标检测论文?
- ICML 2026 有 121 篇目标检测论文,上一届是 57 篇。
- CVPR 2026 有多少篇目标检测论文?
- CVPR 2026 有 286 篇目标检测论文,上一届是 254 篇。
- 哪个会议的目标检测论文最多?
- CVPR,2023–2026 年共 1,110 篇。