视听学习论文趋势 2023–2026
音视频联合建模
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 790 篇被归入该主题的论文。
主要结论
- 视听学习论文从 2023 年的 158 篇增长到 2026 年的 282 篇,三年间扩大到约 1.8 倍。
- CVPR 是发视听学习论文最多的会议,2023–2026 年共 402 篇,占四个会议总量的 51%。
- 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 2 篇增至 2026 年的 19 篇。
- 在「语音与音频」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的音频生成是 4.3 倍,视听学习是 1.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 48 | 20 | 12 | 78 | 158 |
| 2024 | 33 | 19 | 20 | 88 | 160 |
| 2025 | 56 | 30 | 10 | 94 | 190 |
| 2026 | 69 | 39 | 32 | 142 | 282 |
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 Training-Free Video Moment Retrieval Framework via Selection from Multiple Visual Prompts
- ICML 2026AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
- ICLR 2026AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration
- CVPR 2026AVFakeBench A Comprehensive Audio-Video Forgery Detection Benchmark for AV-LMMs
- NeurIPS 2025$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
- ICML 2025Token Coordinated Prompt Attention is Needed for Visual Prompting
- ICLR 2025AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
- CVPR 2025A Distractor-Aware Memory for Visual Object Tracking with SAM2
- NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
- ICML 2024EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
- ICLR 2024Can Transformers Capture Spatial Relations between Objects?
- CVPR 2024DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
- NeurIPS 2023Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
- ICML 2023A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
- ICLR 2023A Control-Centric Benchmark for Video Prediction
- CVPR 2023An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling
- NeurIPS 2026AdaCodec: A Predictive Visual Code for Video MLLMs
- ICML 2026EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
- ICLR 2026Depth Anything 3: Recovering the Visual Space from Any Views
- CVPR 2026Co-Me Confidence Guided Token Merging for Visual Geometric Transformers
全部视听学习论文
共 48 篇,第 1 / 1 页
- NeurIPS 2023A Partially-Supervised Reinforcement Learning Framework for Visual Active Search
- NeurIPS 2023A polar prediction model for learning to represent visual transformations
- NeurIPS 2023Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
- NeurIPS 2023AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
- NeurIPS 2023BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
- NeurIPS 2023Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images
- NeurIPS 2023Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment
- NeurIPS 2023Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
- NeurIPS 2023ClusterFomer: Clustering As A Universal Visual Learner
- NeurIPS 2023Convolutional Visual Prompt for Robust Visual Perception
- NeurIPS 2023Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks
- NeurIPS 2023Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
- NeurIPS 2023Domain Adaptive Imitation Learning with Visual Observation
- NeurIPS 2023DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
- NeurIPS 2023Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization
- NeurIPS 2023Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation
- NeurIPS 2023ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
- NeurIPS 2023Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models
- NeurIPS 2023Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP
- NeurIPS 2023Learning Dictionary for Visual Attention
- NeurIPS 2023Learning Energy-based Model via Dual-MCMC Teaching
- NeurIPS 2023Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions
- NeurIPS 2023Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
- NeurIPS 2023Learning Modulated Transformation in GANs
- NeurIPS 2023Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval
- NeurIPS 2023Learning Visual Prior via Generative Pre-Training
- NeurIPS 2023MAViL: Masked Audio-Video Learners
- NeurIPS 2023Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
- NeurIPS 2023Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
- NeurIPS 2023MoVie: Visual Model-Based Policy Adaptation for View Generalization
- NeurIPS 2023Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
- NeurIPS 2023Reusable Slotwise Mechanisms
- NeurIPS 2023Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective
- NeurIPS 2023Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View
- NeurIPS 2023RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
- NeurIPS 2023Self-Supervised Visual Acoustic Matching
- NeurIPS 2023Siamese Masked Autoencoders
- NeurIPS 2023Single-Stage Visual Query Localization in Egocentric Videos
- NeurIPS 2023SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
- NeurIPS 2023Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio
- NeurIPS 2023STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
- NeurIPS 2023Structured Federated Learning through Clustered Additive Modeling
- NeurIPS 2023Systematic Visual Reasoning through Object-Centric Relational Abstraction
- NeurIPS 2023Video Timeline Modeling For News Story Understanding
- NeurIPS 2023Visual Instruction Tuning
- NeurIPS 2023Weakly-Supervised Audio-Visual Segmentation
- NeurIPS 2023Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects
- NeurIPS 2023ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
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 查视听学习在 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": "audio-visual-learning"}
常见问题
- 2023–2026 年四大会议一共有多少篇视听学习论文?
- 共 790 篇,按年份分别是 2023 年 158 篇、2024 年 160 篇、2025 年 190 篇、2026 年 282 篇。
- NeurIPS 2026 有多少篇视听学习论文?
- NeurIPS 2026 有 69 篇视听学习论文,上一届是 56 篇。
- ICLR 2026 有多少篇视听学习论文?
- ICLR 2026 有 39 篇视听学习论文,上一届是 30 篇。
- ICML 2026 有多少篇视听学习论文?
- ICML 2026 有 32 篇视听学习论文,上一届是 10 篇。
- CVPR 2026 有多少篇视听学习论文?
- CVPR 2026 有 142 篇视听学习论文,上一届是 94 篇。
- 哪个会议的视听学习论文最多?
- CVPR,2023–2026 年共 402 篇。