分割论文趋势 2023–2026
语义/实例分割
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,034 篇被归入该主题的论文。
主要结论
- 分割论文从 2023 年的 251 篇增长到 2026 年的 265 篇,三年间扩大到约 1.1 倍。
- CVPR 是发分割论文最多的会议,2023–2026 年共 647 篇,占四个会议总量的 63%。
- 交叉方向里涨得最快的是多模态大模型:同时属于两个主题的论文从 2023 年的 36 篇增至 2026 年的 72 篇。
- 在「计算机视觉」的 5 个主题里,它的 2026 年论文数排第 5;同组增长最快的视频理解是 2.6 倍,分割是 1.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 39 | 16 | 10 | 186 | 251 |
| 2024 | 65 | 19 | 18 | 167 | 269 |
| 2025 | 66 | 26 | 17 | 140 | 249 |
| 2026 | 60 | 26 | 25 | 154 | 265 |
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 probabilistic model of visual segmentation explains early visual cortical dynamics
- ICML 2026SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation
- ICLR 2026ARINBEV: Bird's-Eye View Layout Estimation with Conditional Autoregressive Model
- CVPR 2026Annotation-Efficient Coreset Selection for Context-dependent Segmentation
- NeurIPS 2025$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
- ICML 2025GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
- ICLR 2025ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation
- CVPR 20253D Dental Model Segmentation with Geometrical Boundary Preserving
- NeurIPS 2024Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
- ICML 2024BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation
- ICLR 2024Diving Segmentation Model into Pixels
- CVPR 2024DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
- NeurIPS 20233D Indoor Instance Segmentation in an Open-World
- ICML 2023CLUSTSEG: Clustering for Universal Segmentation
- ICLR 20233D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation
- CVPR 2023A Generalized Framework for Video Instance Segmentation
- NeurIPS 2026Adaptive Residual Quantization for Memory-Efficient Temporal Action Segmentation
- ICML 2026SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation
- ICLR 2026CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition
- CVPR 2026Better Stronger Faster Tackling the Trilemma in MLLM-based Segmentation with
全部分割论文
共 230 篇,第 1 / 5 页
- NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
- NeurIPS 2026A probabilistic model of visual segmentation explains early visual cortical dynamics
- NeurIPS 2026Adaptive Residual Quantization for Memory-Efficient Temporal Action Segmentation
- NeurIPS 2026AdapToPASS: Ambiguity-aware Adaptive Spherical Transformer for Panoramic Semantic Segmentation
- NeurIPS 2026Anatomy-aware Spatio-Temporal Modeling for Echocardiography Segmentation
- NeurIPS 2026Auditing Correlated Failures in Frozen-Feature Pretrained-Encoder Pools for Medical Segmentation
- NeurIPS 2026Augmented Equivariant Mesh Networks for Anatomical Segmentation
- NeurIPS 2026Beyond [SEG] Tokens: Training-Free Video Reasoning Segmentation via Counterfactual Inference and Contrastive Concept
- NeurIPS 2026Beyond Pixel-wise Supervision: Local Structure Regularization for Semantic Segmentation
- NeurIPS 2026Beyond Stabilization: Dual-EMA Teachers for Global–Local Semantic Learning in Semi-Supervised Medical Image Segmentation
- NeurIPS 2026Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG
- NeurIPS 2026BrainEM: A Large-Scale and Diverse Benchmark for EM Neuron Segmentation in Connectomics
- NeurIPS 2026CT-Lesion: A Multi-Region CT Dataset for Co-existing Lesion Segmentation and Detection
- NeurIPS 2026Cyclic Discrete Diffusion: A Novel Multi-Class Segmentation Refinement Technique
- NeurIPS 2026DIGS: Distribution-Informed Gaussian Splatting for Training-Free Open-Vocabulary 3D Segmentation
- NeurIPS 2026Early Semantic Grounding in Image Editing Models for Zero-Shot Referring Image Segmentation
- NeurIPS 2026Efficient SAM 3 Adaptation for Multi-Class Semantic Segmentation via Dense Competitive Representations
- NeurIPS 2026Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
- NeurIPS 2026EviSAM3: Evidence-Driven SAM3 for Referring Remote Sensing Image Segmentation
- NeurIPS 2026Fractal-G: Topology-Aware Heterogeneous Graphs for Medical Image Segmentation
- NeurIPS 2026GMOS: Grounding Moving Object Segmentation in 3D Space and Time
- NeurIPS 2026Improved Weakly Supervised Semantic Segmentation with A Relationally Optimized Prototype Memory Bank Framework
- NeurIPS 2026Improving Continual Video Instance Segmentation via Spatial-Temporal Balanced Mixture-of-Experts Adapters
- NeurIPS 2026Joint EM Image Super-Resolution and Segmentation with Semantic and Structural Priors
- NeurIPS 2026LaSA-Net: A Language-Guided Network for Outdoor Generalized 3D Referring Expression Segmentation
- NeurIPS 2026Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
- NeurIPS 2026MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation
- NeurIPS 2026MonoChunk3D: Monocular Online 3D Instance Segmentation with Persistent Instance States
- NeurIPS 2026NormLift: From Lifted Features To Semantic Reliability In 3D Gaussian Splatting
- NeurIPS 2026On the Relaxation of Conditional Independence Assumption for Image Segmentation
- NeurIPS 2026Parametric Meets Non-parametric: Bridging Dual Prediction Spaces for Semi-supervised Medical Image Segmentation
- NeurIPS 2026Pixels to Tokens: Token Space Efficient Active Learning for Low-Budget Semantic Segmentation
- NeurIPS 2026Position: Semantic Uncertainty Measures Disagreement, Not Reliability
- NeurIPS 2026Preference-Guided Adaptation for Open-Vocabulary Semantic Segmentation via Prompt Disagreement
- NeurIPS 2026Prompting Diffusion Models for Zero-Shot Instance Segmentation
- NeurIPS 2026RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers
- NeurIPS 2026Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation
- NeurIPS 2026Region-Normalized DPO for Medical Image Segmentation
- NeurIPS 2026Relational Feature Distillation for Lightweight 3D Point Cloud Segmentation
- NeurIPS 2026RelationVGGT : Visual Geometry Transformers for 3D Spatial Relation Segmentation
- NeurIPS 2026Rethinking Vector Field Learning for Generative Segmentation
- NeurIPS 2026RipBench: A Unified Benchmark for Multi-Level Rip Current Detection, Classification and Segmentation
- NeurIPS 2026S$^2$-RL: Sample-Set Dual Reinforcement Learning for Generative Semantic Segmentation Dataset Distillation
- NeurIPS 2026S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
- NeurIPS 2026See to Believe: Segmentation by Reasoning with Visual Evidence
- NeurIPS 2026Seg3DParts: Segmentation-Grounded Controllable Part-Level 3D Generation
- NeurIPS 2026Segment and Select: Vision-Language Segmentation in 3D Scenarios
- NeurIPS 2026SetCon: Towards Open-Ended Referring Segmentation via Set-Level Concept Prediction
- NeurIPS 2026Sparse All-Layer Connector for Domain Generalised Semantic Segmentation
- NeurIPS 2026TerraMesh-Masks: Open‑Vocabulary Segmentation for Earth Observation
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 查分割在 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": "segmentation"}
常见问题
- 2023–2026 年四大会议一共有多少篇分割论文?
- 共 1,034 篇,按年份分别是 2023 年 251 篇、2024 年 269 篇、2025 年 249 篇、2026 年 265 篇。
- NeurIPS 2026 有多少篇分割论文?
- NeurIPS 2026 有 60 篇分割论文,上一届是 66 篇。
- ICLR 2026 有多少篇分割论文?
- ICLR 2026 有 26 篇分割论文,上一届是 26 篇。
- ICML 2026 有多少篇分割论文?
- ICML 2026 有 25 篇分割论文,上一届是 17 篇。
- CVPR 2026 有多少篇分割论文?
- CVPR 2026 有 154 篇分割论文,上一届是 140 篇。
- 哪个会议的分割论文最多?
- CVPR,2023–2026 年共 647 篇。