零样本分类论文趋势 2023–2026
零样本识别
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 992 篇被归入该主题的论文。
主要结论
- 零样本分类论文从 2023 年的 203 篇增长到 2026 年的 257 篇,三年间扩大到约 1.3 倍。
- CVPR 是发零样本分类论文最多的会议,2023–2026 年共 318 篇,占四个会议总量的 32%。
- 交叉方向里涨得最快的是强化学习:同时属于两个主题的论文从 2023 年的 7 篇增至 2026 年的 22 篇。
- 在「开放词汇视觉」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的视觉定位是 4.3 倍,零样本分类是 1.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 46 | 55 | 28 | 74 | 203 |
| 2024 | 82 | 45 | 51 | 84 | 262 |
| 2025 | 86 | 56 | 49 | 79 | 270 |
| 2026 | 68 | 44 | 64 | 81 | 257 |
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 Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
- ICML 2026Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
- ICLR 2026Boomerang Distillation Enables Zero-Shot Model Size Interpolation
- CVPR 2026AG-VAS Anchor-Guided Zero-Shot Visual Anomaly Segmentation with Large Multimodal Models
- NeurIPS 2025\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
- ICML 2025A Classification View on Meta Learning Bandits
- ICLR 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
- CVPR 2025AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
- NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
- ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
- ICLR 2024AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
- CVPR 2024Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
- NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
- ICML 2023A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
- ICLR 2023Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
- CVPR 2023(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
- NeurIPS 2026Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
- ICML 2026Calibrating Uncertainty for Zero-Shot Adversarial CLIP
- ICLR 2026Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
- CVPR 2026DLVP-CLIP Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual
全部零样本分类论文
共 992 篇,第 1 / 20 页
- CVPR 2026AG-VAS Anchor-Guided Zero-Shot Visual Anomaly Segmentation with Large Multimodal Models
- CVPR 2026AGFT Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models
- CVPR 2026AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors
- CVPR 2026Are Image-to-Video Models Good Zero-Shot Image Editors
- CVPR 2026Back to Point Exploring Point-Language Models for Zero-Shot 3D Anomaly
- CVPR 2026Bayesian Decomposition and Semantic Completion for Few-shot Semantic Segmentation
- CVPR 2026Beyond Heuristic Prompting A Concept-Guided Bayesian Framework for Zero-Shot Image
- CVPR 2026Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
- CVPR 2026Bridging the Modality Gap in Compositional Zero-Shot Learning via Sparse
- CVPR 2026CLIP Is Shortsighted Paying Attention Beyond the First Sentence
- CVPR 2026ConceptPose Training-Free Zero-Shot Object Pose Estimation using Concept Vectors
- CVPR 2026DDSF Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point
- CVPR 2026Discover Segment and Select A Progressive Mechanism for Zero-shot Camouflaged
- CVPR 2026DLVP-CLIP Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual
- CVPR 2026ENC-Bench A Benchmark for Evaluating Multimodal Large Language Models in
- CVPR 2026Explaining CLIP Zero-shot Predictions Through Concepts
- CVPR 2026Fast-FoundationStereo Real-Time Zero-Shot Stereo Matching
- CVPR 2026FB-CLIP Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement
- CVPR 2026FBTA Enabling Single-GPU End-to-End Gigapixel WSI Classification with Feature Bridging
- CVPR 2026FeatureFool Zero-Query Fooling of Video Models via Feature Map
- CVPR 2026Feed-Forward One-Shot Animatable Textured Mesh Avatar Reconstruction
- CVPR 2026FlowComposer Composable Flows for Compositional Zero-Shot Learning
- CVPR 2026From Attraction to Equilibrium Physics-Inspired Semantic Gravitons for Zero-Shot Anomaly
- CVPR 2026From Few-way to Many-way Rethinking Few-shot Fine-grained Image Classification
- CVPR 2026Graph Attention Prototypical Network for Robust Few-Shot Classification
- CVPR 2026GS-CLIP Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic
- CVPR 2026HandDreamer Zero-Shot Text to 3D Hand Model Generation using Corrective
- CVPR 2026Harnessing the Power of Foundation Models for Accurate Material Classification
- CVPR 2026Hierarchically Robust Zero-shot Vision-language Models
- CVPR 2026Humanoid Generative Pre-Training for Zero-Shot Motion Tracking
- CVPR 2026Hyperbolic Defect Feature Synthesis for Few-Shot Defect Classification
- CVPR 2026Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual
- CVPR 2026InTrain Intrinsic Trainability for Zero-Cost Neural Architecture Search
- CVPR 2026Language Does Matter for Cross-Domain Few-Shot Visual Feature Enhancement
- CVPR 2026LaS-Comp Zero-shot 3D Completion with Latent-Spatial Consistency
- CVPR 2026Lite Any Stereo Efficient Zero-Shot Stereo Matching
- CVPR 2026Making the Classification Explanation Faithful to the Confidence Score
- CVPR 2026Memory Matters Boosting Training-Free Zero-Shot Temporal Action Localization with a
- CVPR 2026MoECLIP Patch-Specialized Experts for Zero-shot Anomaly Detection
- CVPR 2026MPL Match-guided Prototype Learning for Few-shot Action Recognition
- CVPR 2026MR. Illuminate Zero-Shot Low-Light Image Enhancement with Diffusion Prior
- CVPR 2026Multi-Scale Gaussian-Language Map for Zero-shot Embodied Navigation and Reasoning
- CVPR 2026MV3DIS Multi-View Mask Matching via 3D Guides for Zero-Shot 3D
- CVPR 2026NAF Zero-Shot Feature Upsampling via Neighborhood Attention Filtering
- CVPR 2026No Need For Real Anomaly MLLM Empowered Zero-Shot Video Anomaly
- CVPR 2026One Patch to Caption Them All A Unified Zero-Shot Captioning
- CVPR 2026oslash Source Models Leak What They Shouldnt nrightarrow Unlearning Zero-Shot
- CVPR 2026Post-training Feature Pruning for Fundus Images Classification
- CVPR 2026PP-Brep Few-Shot B-rep Classification with Hybrid Graph Representation
- CVPR 2026ProjFlow Projection Sampling with Flow Matching for Zero-Shot Exact Spatial
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 查零样本分类在 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": "zero-shot-classification"}
常见问题
- 2023–2026 年四大会议一共有多少篇零样本分类论文?
- 共 992 篇,按年份分别是 2023 年 203 篇、2024 年 262 篇、2025 年 270 篇、2026 年 257 篇。
- NeurIPS 2026 有多少篇零样本分类论文?
- NeurIPS 2026 有 68 篇零样本分类论文,上一届是 86 篇。
- ICLR 2026 有多少篇零样本分类论文?
- ICLR 2026 有 44 篇零样本分类论文,上一届是 56 篇。
- ICML 2026 有多少篇零样本分类论文?
- ICML 2026 有 64 篇零样本分类论文,上一届是 49 篇。
- CVPR 2026 有多少篇零样本分类论文?
- CVPR 2026 有 81 篇零样本分类论文,上一届是 79 篇。
- 哪个会议的零样本分类论文最多?
- CVPR,2023–2026 年共 318 篇。