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 9 / 23 页
- NeurIPS 2024Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
- NeurIPS 2024All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
- NeurIPS 2024AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
- NeurIPS 2024Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection
- NeurIPS 2024Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
- NeurIPS 2024Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?
- NeurIPS 2024Are We on the Right Way for Evaluating Large Vision-Language Models?
- NeurIPS 2024Artemis: Towards Referential Understanding in Complex Videos
- NeurIPS 2024Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
- NeurIPS 2024Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval
- NeurIPS 2024Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
- NeurIPS 2024AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
- NeurIPS 2024Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
- NeurIPS 2024Automated Multi-level Preference for MLLMs
- NeurIPS 2024AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations
- NeurIPS 2024AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
- NeurIPS 2024Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
- NeurIPS 2024Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
- NeurIPS 2024BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
- NeurIPS 2024Beyond Accuracy: Tracking more like Human via Visual Search
- NeurIPS 2024Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection
- NeurIPS 2024Bias Detection via Signaling
- NeurIPS 2024Binarized Diffusion Model for Image Super-Resolution
- NeurIPS 2024Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis
- NeurIPS 2024BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens
- NeurIPS 2024bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction
- NeurIPS 2024Black-Box Forgetting
- NeurIPS 2024Blind Image Restoration via Fast Diffusion Inversion
- NeurIPS 2024BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
- NeurIPS 2024Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing
- NeurIPS 2024Boosting Vision-Language Models with Transduction
- NeurIPS 2024Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension
- NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
- NeurIPS 2024Bridge the Modality and Capability Gaps in Vision-Language Model Selection
- NeurIPS 2024Bridge the Points: Graph-based Few-shot Segment Anything Semantically
- NeurIPS 2024Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
- NeurIPS 2024Bridging OOD Detection and Generalization: A Graph-Theoretic View
- NeurIPS 2024BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
- NeurIPS 2024CALVIN: Improved Contextual Video Captioning via Instruction Tuning
- NeurIPS 2024Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
- NeurIPS 2024Can We Leave Deepfake Data Behind in Training Deepfake Detector?
- NeurIPS 2024CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
- NeurIPS 2024Capturing the denoising effect of PCA via compression ratio
- NeurIPS 2024Causal Context Adjustment Loss for Learned Image Compression
- NeurIPS 2024CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
- NeurIPS 2024CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
- NeurIPS 2024Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers
- NeurIPS 2024ChatCam: Empowering Camera Control through Conversational AI
- NeurIPS 2024ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
- NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
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。