指代表达论文趋势 2023–2026

主要结论

• 指代表达论文从 2023 年的 18 篇增长到 2026 年的 27 篇，三年间扩大到约 1.5 倍。
• CVPR 是发指代表达论文最多的会议，2023–2026 年共 59 篇，占四个会议总量的 64%。
• 交叉方向里涨得最快的是三维视觉：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 7 篇。
• 在「开放词汇视觉」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的视觉定位是 4.3 倍，指代表达是 1.5 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 2026EviSAM3: Evidence-Driven SAM3 for Referring Remote Sensing Image Segmentation
• ICML 2026Position Is All You Need: A Free Lunch Token Compression Strategy for MLLM-based Referring Expression Segmentation
• ICLR 2026Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks
• CVPR 2026CLEX Complementary Label Exchange Learning for Noisy Facial Expression Recognition
• NeurIPS 2025Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
• ICML 2025ReferSplat: Referring Segmentation in 3D Gaussian Splatting
• ICLR 2025LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
• CVPR 2025Decoupled Motion Expression Video Segmentation
• NeurIPS 2024A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era
• ICML 2024SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
• ICLR 2024BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
• CVPR 2024Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
• NeurIPS 2023Segment Everything Everywhere All at Once
• CVPR 2023Contrastive Grouping With Transformer for Referring Image Segmentation
• NeurIPS 2026LeCellModel: Interpretable Density Estimation over the Gene Expression Manifold
• ICML 2026ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models
• ICLR 2026Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs
• CVPR 2026InterRVOS Interaction-Aware Referring Video Object Segmentation
• NeurIPS 2025RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
• ICLR 2025Text4Seg: Reimagining Image Segmentation as Text Generation

全部指代表达论文

共 14 篇，第 1 / 1 页

1. CVPR 2026Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression
2. CVPR 2026Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology
3. CVPR 2026CLEX Complementary Label Exchange Learning for Noisy Facial Expression Recognition
4. CVPR 2026From Pixel to Precision Enhancing Handwritten Mathematical Expression Recognition with
5. CVPR 2026Geometry-Aware Cross-Modal Graph Alignment for Referring Segmentation in 3D Gaussian
6. CVPR 2026InterRVOS Interaction-Aware Referring Video Object Segmentation
7. CVPR 2026Long-RVOS A Comprehensive Benchmark for Long-term Referring Video Object Segmentation
8. CVPR 2026MVGGT Multimodal Visual Geometry Grounded Transformer for Multiview 3D Referring
9. CVPR 2026Photo-Guided Tooth Segmentation on 3D Oral Scan Model
10. CVPR 2026Rethinking MLLM Itself as a Segmenter with a Single Segmentation
11. CVPR 2026SAQN Semantic-based Adaptive Query Network for 3D Referring Expression Segmentation
12. CVPR 2026Spatial Matters Position-Guided 3D Referring Expression Segmentation
13. CVPR 2026ST4R-Splat Spatio-Temporal Referring Segmentation in 4D Gaussian Splatting
14. CVPR 2026Towards Streaming Referring Video Segmentation via Large Language Model

常见问题

2023–2026 年四大会议一共有多少篇指代表达论文？

共 92 篇，按年份分别是 2023 年 18 篇、2024 年 29 篇、2025 年 18 篇、2026 年 27 篇。

NeurIPS 2026 有多少篇指代表达论文？

NeurIPS 2026 有 6 篇指代表达论文，上一届是 5 篇。

ICLR 2026 有多少篇指代表达论文？

ICLR 2026 有 5 篇指代表达论文，上一届是 2 篇。

ICML 2026 有多少篇指代表达论文？

ICML 2026 有 2 篇指代表达论文，上一届是 1 篇。

CVPR 2026 有多少篇指代表达论文？

CVPR 2026 有 14 篇指代表达论文，上一届是 10 篇。

哪个会议的指代表达论文最多？

CVPR，2023–2026 年共 59 篇。