Segmentation papers, 2023–2026
Semantic and instance segmentation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,034 papers are tagged with this topic.
Key findings
- Segmentation went from 251 papers in 2023 to 265 in 2026, roughly 1.1x in three years.
- CVPR publishes the most Segmentation work: 647 papers from 2023 to 2026, 63% of the four-venue total.
- The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 36 in 2023 to 72 in 2026.
- Among the 5 topics under Computer Vision, it ranks #5 by 2026 paper count; the fastest grower in the group, Video Understanding, is up 2.6x versus 1.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 39 | 16 | 10 | 186 | 251 |
| 2024 | 65 | 19 | 18 | 167 | 269 |
| 2025 | 66 | 26 | 17 | 140 | 249 |
| 2026 | 60 | 26 | 25 | 154 | 265 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Segmentation papers
230 papers, page 3 of 5
- NeurIPS 2025Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains
- NeurIPS 2025PanTS: The Pancreatic Tumor Segmentation Dataset
- NeurIPS 2025RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation
- NeurIPS 2025Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation
- NeurIPS 2025Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation
- NeurIPS 2025RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
- NeurIPS 2025Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention
- NeurIPS 2025SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation
- NeurIPS 2025Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
- NeurIPS 2025SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
- NeurIPS 2025Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
- NeurIPS 2025Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection
- NeurIPS 2025Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control
- NeurIPS 2025SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation
- NeurIPS 2025Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective
- NeurIPS 2025Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting
- NeurIPS 2025Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
- NeurIPS 2025Stratify or Die: Rethinking Data Splits in Image Segmentation
- NeurIPS 2025Toward Interpretable Evaluation Measures for Time Series Segmentation
- NeurIPS 2025Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors
- NeurIPS 2025Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
- NeurIPS 2025Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
- NeurIPS 2025Transformers Learn Faster with Semantic Focus
- NeurIPS 2025UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
- NeurIPS 2025VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection
- NeurIPS 2025VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation
- NeurIPS 2024A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
- NeurIPS 2024A Simple Image Segmentation Framework via In-Context Examples
- NeurIPS 2024A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
- NeurIPS 2024A Unified Framework for 3D Scene Understanding
- NeurIPS 2024AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation
- NeurIPS 2024Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
- NeurIPS 2024Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
- NeurIPS 2024AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
- NeurIPS 2024Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
- NeurIPS 2024Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension
- NeurIPS 2024Bridge the Points: Graph-based Few-shot Segment Anything Semantically
- NeurIPS 2024CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
- NeurIPS 2024Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
- NeurIPS 2024Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
- NeurIPS 2024CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise
- NeurIPS 2024DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
- NeurIPS 2024DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
- NeurIPS 2024Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
- NeurIPS 2024E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
- NeurIPS 2024Efficient Temporal Action Segmentation via Boundary-aware Query Voting
- NeurIPS 2024End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning
- NeurIPS 2024Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
- NeurIPS 2024Federated Black-Box Adaptation for Semantic Segmentation
- NeurIPS 2024Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Segmentation papers grew at CVPR from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "segmentation"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
FAQ
- How many Segmentation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 1,034 in total: 251 in 2023, 269 in 2024, 249 in 2025, 265 in 2026.
- How many Segmentation papers are at NeurIPS 2026?
- NeurIPS 2026 has 60 Segmentation papers, versus 66 the year before.
- How many Segmentation papers are at ICLR 2026?
- ICLR 2026 has 26 Segmentation papers, versus 26 the year before.
- How many Segmentation papers are at ICML 2026?
- ICML 2026 has 25 Segmentation papers, versus 17 the year before.
- How many Segmentation papers are at CVPR 2026?
- CVPR 2026 has 154 Segmentation papers, versus 140 the year before.
- Which conference publishes the most Segmentation papers?
- CVPR, with 647 papers from 2023 to 2026.