应用 · computer vision论文趋势 2023–2026

主要结论

• 应用 · computer vision论文从 2023 年的 106 篇增长到 2026 年的 1,326 篇，三年间扩大到约 13 倍。
• ICLR 是发应用 · computer vision论文最多的会议，2023–2026 年共 1,048 篇，占四个会议总量的 41%。
• 交叉方向里涨得最快的是应用 · speech and audio：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 292 篇。
• 在「应用领域」的 10 个主题里，它的 2026 年论文数排第 1；同组增长最快的应用 · health medicine是 61 倍，应用 · computer vision是 13 倍。

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 2026Adapting Vision Transformers to Organoid Imaging
• ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
• ICLR 2026A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features
• CVPR 2026Benchmarking PhD-Level Coding in 3D Geometric Computer Vision
• NeurIPS 2025BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
• ICML 2025Action Dubber: Timing Audible Actions via Inflectional Flow
• ICLR 2025A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
• CVPR 2025BHViT: Binarized Hybrid Vision Transformer
• NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
• ICML 2024Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
• ICLR 2024Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
• CVPR 2024Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
• NeurIPS 2023[Re] Masked Autoencoders Are Small Scale Vision Learners: A Reproduction Under Resource Constraints
• ICML 2023Can Forward Gradient Match Backpropagation?
• ICLR 2023Fundamental limits on the robustness of image classifiers
• CVPR 2023BiFormer: Vision Transformer With Bi-Level Routing Attention
• NeurIPS 2026Computer Use at the Edge of the Statistical Precipice
• ICML 20263D Scene Assertion Verification
• ICLR 2026A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
• CVPR 2026Describe Anything Anywhere At Any Moment

全部应用 · computer vision论文

共 25 篇，第 1 / 1 页

1. ICML 2024An Empirical Study Into What Matters for Calibrating Vision-Language Models
2. ICML 2024Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
3. ICML 2024Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
4. ICML 2024ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
5. ICML 2024CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
6. ICML 2024CurBench: Curriculum Learning Benchmark
7. ICML 2024Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
8. ICML 2024Estimating the Permanent by Nesting Importance Sampling
9. ICML 2024Exploring Intrinsic Dimension for Vision-Language Model Pruning
10. ICML 2024FiT: Flexible Vision Transformer for Diffusion Model
11. ICML 2024Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
12. ICML 2024Gibbs Sampling of Continuous Potentials on a Quantum Computer
13. ICML 2024Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
14. ICML 2024Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
15. ICML 2024Libra: Building Decoupled Vision System on Large Language Models
16. ICML 2024MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
17. ICML 2024Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers
18. ICML 2024Position: Do Not Explain Vision Models Without Context
19. ICML 2024Positive Concave Deep Equilibrium Models
20. ICML 2024Revisiting the Role of Language Priors in Vision-Language Models
21. ICML 2024Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
22. ICML 2024Statistical Test for Attention Maps in Vision Transformers
23. ICML 2024Stereographic Spherical Sliced Wasserstein Distances
24. ICML 2024UPOCR: Towards Unified Pixel-Level OCR Interface
25. ICML 2024ViP: A Differentially Private Foundation Model for Computer Vision

常见问题

2023–2026 年四大会议一共有多少篇应用 · computer vision论文？

共 2,538 篇，按年份分别是 2023 年 106 篇、2024 年 334 篇、2025 年 772 篇、2026 年 1,326 篇。

NeurIPS 2026 有多少篇应用 · computer vision论文？

NeurIPS 2026 有 168 篇应用 · computer vision论文，上一届是 165 篇。

ICLR 2026 有多少篇应用 · computer vision论文？

ICLR 2026 有 538 篇应用 · computer vision论文，上一届是 338 篇。

ICML 2026 有多少篇应用 · computer vision论文？

ICML 2026 有 554 篇应用 · computer vision论文，上一届是 201 篇。

CVPR 2026 有多少篇应用 · computer vision论文？

CVPR 2026 有 66 篇应用 · computer vision论文，上一届是 68 篇。

哪个会议的应用 · computer vision论文最多？

ICLR，2023–2026 年共 1,048 篇。