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 1,109 篇,第 11 / 23 页
- NeurIPS 2024Depth Anything V2
- NeurIPS 2024Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
- NeurIPS 2024Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
- NeurIPS 2024DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
- NeurIPS 2024DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
- NeurIPS 2024DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
- NeurIPS 2024DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
- NeurIPS 2024DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
- NeurIPS 2024Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
- NeurIPS 2024DiffGS: Functional Gaussian Splatting Diffusion
- NeurIPS 2024DiffSF: Diffusion Models for Scene Flow Estimation
- NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
- NeurIPS 2024Diffusion Priors for Variational Likelihood Estimation and Image Denoising
- NeurIPS 2024Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
- NeurIPS 2024DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
- NeurIPS 2024DINTR: Tracking via Diffusion-based Interpolation
- NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
- NeurIPS 2024DisC-GS: Discontinuity-aware Gaussian Splatting
- NeurIPS 2024Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
- NeurIPS 2024DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
- NeurIPS 2024Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
- NeurIPS 2024DMesh: A Differentiable Mesh Representation
- NeurIPS 2024DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
- NeurIPS 2024DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering
- NeurIPS 2024Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
- NeurIPS 2024DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus
- NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors
- NeurIPS 2024Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
- NeurIPS 2024Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation
- NeurIPS 2024DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
- NeurIPS 2024DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
- NeurIPS 2024DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
- NeurIPS 2024Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
- NeurIPS 2024Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
- NeurIPS 2024Dual-Diffusion for Binocular 3D Human Pose Estimation
- NeurIPS 2024Dynamic 3D Gaussian Fields for Urban Areas
- NeurIPS 2024Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
- NeurIPS 2024Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
- NeurIPS 2024E-Motion: Future Motion Simulation via Event Sequence Diffusion
- NeurIPS 2024E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
- NeurIPS 2024EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
- NeurIPS 2024Easy Regional Contrastive Learning of Expressive Fashion Representations
- NeurIPS 2024Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
- NeurIPS 2024Efficient Large Multi-modal Models via Visual Context Compression
- NeurIPS 2024Efficient Temporal Action Segmentation via Boundary-aware Query Voting
- NeurIPS 2024EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
- NeurIPS 2024EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
- NeurIPS 2024EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection
- NeurIPS 2024Elucidating the Design Space of Dataset Condensation
- NeurIPS 2024Empowering Visible-Infrared Person Re-Identification with Large Foundation Models
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。