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 12 / 23 页
- NeurIPS 2024End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning
- NeurIPS 2024Energy-based Hopfield Boosting for Out-of-Distribution Detection
- NeurIPS 2024Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
- NeurIPS 2024Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
- NeurIPS 2024EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
- NeurIPS 2024Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis
- NeurIPS 2024Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data
- NeurIPS 2024ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
- NeurIPS 2024Evaluating Multiview Object Consistency in Humans and Image Models
- NeurIPS 2024Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting
- NeurIPS 2024Expanding Sparse Tuning for Low Memory Usage
- NeurIPS 2024Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
- NeurIPS 2024Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels
- NeurIPS 2024Exploiting Representation Curvature for Boundary Detection in Time Series
- NeurIPS 2024Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
- NeurIPS 2024Exploring Token Pruning in Vision State Space Models
- NeurIPS 2024Expressive Gaussian Human Avatars from Monocular RGB Video
- NeurIPS 2024Extending Video Masked Autoencoders to 128 frames
- NeurIPS 2024EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
- NeurIPS 2024Fast Encoder-Based 3D from Casual Videos via Point Track Processing
- NeurIPS 2024FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
- NeurIPS 2024Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification
- NeurIPS 2024FedAvP: Augment Local Data via Shared Policy in Federated Learning
- NeurIPS 2024Federated Black-Box Adaptation for Semantic Segmentation
- NeurIPS 2024FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation
- NeurIPS 2024Fetch and Forge: Efficient Dataset Condensation for Object Detection
- NeurIPS 2024FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
- NeurIPS 2024FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
- NeurIPS 2024Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
- NeurIPS 2024Fine-Tuning is Fine, if Calibrated
- NeurIPS 2024FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding
- NeurIPS 2024Flatten Anything: Unsupervised Neural Surface Parameterization
- NeurIPS 2024Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM
- NeurIPS 2024FlexCap: Describe Anything in Images in Controllable Detail
- NeurIPS 2024Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
- NeurIPS 2024FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
- NeurIPS 2024Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
- NeurIPS 2024Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion
- NeurIPS 2024FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes
- NeurIPS 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
- NeurIPS 2024From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos
- NeurIPS 2024From Chaos to Clarity: 3DGS in the Dark
- NeurIPS 2024From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS
- NeurIPS 2024Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models
- NeurIPS 2024Frustratingly Easy Test-Time Adaptation of Vision-Language Models
- NeurIPS 2024FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
- NeurIPS 2024Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products
- NeurIPS 2024Fully Explicit Dynamic Gaussian Splatting
- NeurIPS 2024Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
- NeurIPS 2024GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting
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。