Segmentation papers, 2023–2026

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.

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 2 of 5

51. NeurIPS 2026The Locality Cost of Semantic Patch Self-Distillation
52. NeurIPS 2026The Mask Is Not the Object: Volumetric Supervision for 3D Gaussian Segmentation
53. NeurIPS 2026Topology-Aware Optimal Transport for Source-Free Test-Time Adaptation in Anomaly Segmentation
54. NeurIPS 2026Towards instance-dependent regret optimality in Episodic MDPs with Posterior Sampling
55. NeurIPS 2026Towards Visual Query Segmentation in the Wild
56. NeurIPS 2026TSB-SEG: A Systematic Time-Series Segmentation Benchmark
57. NeurIPS 2026UniFunc3D: Unified Active Spatial-Temporal Grounding for 3D Affordance Segmentation
58. NeurIPS 2026Universal Cross-Prompt Adversarial Attacks on Promptable Concept Segmentation
59. NeurIPS 2026Unsupervised Unlearnable Segmentation via Semantic Structure Disruption
60. NeurIPS 2026Variational Wasserstein Model on Riemannian Manifolds for Image Segmentation
61. NeurIPS 2025$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
62. NeurIPS 2025Alligat0R: Pre-Training through Covisibility Segmentation for Relative Camera Pose Regression
63. NeurIPS 2025ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
64. NeurIPS 2025BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
65. NeurIPS 2025Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery
66. NeurIPS 2025CamSAM2: Segment Anything Accurately in Camouflaged Videos
67. NeurIPS 2025Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images
68. NeurIPS 2025Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations
69. NeurIPS 2025Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation
70. NeurIPS 2025COS3D: Collaborative Open-Vocabulary 3D Segmentation
71. NeurIPS 2025CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding
72. NeurIPS 2025Differentiable Hierarchical Visual Tokenization
73. NeurIPS 2025Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
74. NeurIPS 2025FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis
75. NeurIPS 2025FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning
76. NeurIPS 2025FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
77. NeurIPS 2025GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything
78. NeurIPS 2025GMM-based VAE model with Normalising Flow for effective stochastic segmentation
79. NeurIPS 2025GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset
80. NeurIPS 2025HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation
81. NeurIPS 2025Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
82. NeurIPS 2025IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
83. NeurIPS 2025LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation
84. NeurIPS 2025Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation
85. NeurIPS 2025Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation
86. NeurIPS 2025LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
87. NeurIPS 2025MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
88. NeurIPS 2025MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation
89. NeurIPS 2025MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation
90. NeurIPS 2025MobileODE: An Extra Lightweight Network
91. NeurIPS 2025Native Segmentation Vision Transformers
92. NeurIPS 2025No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models
93. NeurIPS 2025OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
94. NeurIPS 2025On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
95. NeurIPS 2025Online Segment Any 3D Thing as Instance Tracking
96. NeurIPS 2025Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy
97. NeurIPS 2025OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations
98. NeurIPS 2025OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
99. NeurIPS 2025OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
100. NeurIPS 2025OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation

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.