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 7 / 20 页
- CVPR 2025OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
- CVPR 2025ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
- CVPR 2025Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
- CVPR 2025Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
- CVPR 2025Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild
- CVPR 2025SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
- CVPR 2025Scalable Autoregressive Monocular Depth Estimation
- CVPR 2025Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition
- CVPR 2025Seurat: From Moving Points to Depth
- CVPR 2025SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models
- CVPR 2025Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
- CVPR 2025T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
- CVPR 2025TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
- CVPR 2025Task-Specific Gradient Adaptation for Few-Shot One-Class Classification
- CVPR 2025Temporal Alignment-Free Video Matching for Few-shot Action Recognition
- CVPR 2025Text Augmented Correlation Transformer For Few-shot Classification & Segmentation
- CVPR 2025Towards Efficient Foundation Model for Zero-shot Amodal Segmentation
- CVPR 2025Towards Source-Free Machine Unlearning
- CVPR 2025Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
- CVPR 2025Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
- CVPR 2025UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
- CVPR 2025UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
- CVPR 2025VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation
- CVPR 2025Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning
- CVPR 2025Z-Magic: Zero-shot Multiple Attributes Guided Image Creator
- CVPR 2025Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion
- CVPR 2025Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression
- CVPR 2025Zero-Shot 4D Lidar Panoptic Segmentation
- CVPR 2025Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling
- CVPR 2025Zero-Shot Head Swapping in Real-World Scenarios
- CVPR 2025Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
- CVPR 2025Zero-Shot Monocular Scene Flow Estimation in the Wild
- CVPR 2025Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion
- CVPR 2025Zero-shot RGB-D Point Cloud Registration with Pre-trained Large Vision Model
- CVPR 2025Zero-Shot Styled Text Image Generation, but Make It Autoregressive
- CVPR 2025ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
- ICLR 2025A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
- ICLR 2025Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
- ICLR 2025AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation
- ICLR 2025CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
- ICLR 2025Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning
- ICLR 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
- ICLR 2025Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
- ICLR 2025Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
- ICLR 2025Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
- ICLR 2025Distribution-Specific Agnostic Conditional Classification With Halfspaces
- ICLR 2025Divergence of Neural Tangent Kernel in Classification Problems
- ICLR 2025Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning
- ICLR 2025Federated Few-Shot Class-Incremental Learning
- ICLR 2025Fully-inductive Node Classification on Arbitrary Graphs
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。