Semantic Segmentation

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21 papers in the last four weeks, up 24% on the four weeks before. 0.2% of all new papers.

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GreenSeg: Ground Segmentation Algorithm for Agricultural Robots in Mediterranean Greenhouses using RGB-D Point Clouds
May 24, 2026Fernando Cañadas-Aránega, José C. Moreno, José L. Blanco-Claraco3D Point Cloud Segmentation Robot Navigation
Department of Informatics, CIESOL, ceiA3, Universidad de Almería, Ctra. Sacramento s/n, Almería, 04120, Spain · Department of Engineering, CIESOL, ceiA3, Universidad de Almería, Ctra. Sacramento s/n, Almería, 04120, Spain
D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
May 24, 2026Wenjie Zheng, Haoji Hu, Jiali Lu +2Diffusion Model Guidance Dataset Distillation
Zhejiang University, China
BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors
May 24, 2026Tyler Rust, Dara McNally, Kyle O'Donnell +2Image Segmentation Salient Object Detection
University of Delaware · University of South Florida · DEVCOM Army Research Laboratory
Vision Transformers Need Better Token Interaction
May 22, 2026Linxiang SuVisual Representation Learning Vision Transformer
University of Szeged
Revitalizing Dense Material Segmentation: Stabilized Vision Transformers and the Generalization Paradox
May 22, 2026Allan Kazakov, Duygu Cakir, Hilal Kurt İrfanoğlu +1Image Segmentation Vision Transformer
Bahcesehir University, Istanbul, Turkey · Poder Bilişim Teknolojileri Sanayi ve Ticaret A.Ş., Istanbul, Turkey · Galatasaray University, Istanbul, Turkey
Training-Free Fine-Grained Semantic Segmentations in Low Data Regimes: A FungiTastic Baseline
May 21, 2026Sebastian Cavada, Francesco Pelosin, Lapo FaggiPrototype-Based Classification Image Segmentation
Covision Lab, Bressanone, South Tyrol, Italy
A Robust Semantic Segmentation Pipeline for the CVPR 2026 8th UG2+ Challenge Track 2
May 21, 2026Jinming Chai, Libo Yan, Licheng Jiao +1Semantic Segmentation
School of Artificial Intelligence, Xidian University, Xi’an 710071, China
COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition
May 21, 2026Junhyub Lee, Seunghun Chae, Hyosu KimImage Segmentation Semantic Segmentation
Chung-Ang University
Hyper-V2X: Hypernetworks for Estimating Epistemic and Aleatoric Uncertainty in Cooperative Bird's-Eye-View Semantic Segmentation
May 20, 2026Abhishek Dinkar Jagtap, Sanath Tiptur Sadashivaiah, Andreas FestagHypernetworks V2X Communication
CARISSMA Institute for Electric, COnnected, and Secure Mobility (C-ECOS), Technische Hochschule Ingolstadt, Ingolstadt, 85049, Germany. · University of Applied Sciences Aschaffenburg, Aschaffenburg, 63743, Germany.
SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild
May 20, 2026Anqi Lu, Yun Cheng, Youbing Hu +3Test-Time Adaptation Multi-Robot Systems
Harbin Institute of Technology Harbin, China · ETH Zurich Zurich, Switzerland · Huawei Cloud Algorithm Innovation Lab Be, China
Continual Segmentation under Joint Nonstationarity
May 19, 2026Prashant Pandey, Himanshu Kumar, Devineni Sri Venkatraya Chowdary +1Class-Incremental Learning Continual Learning
Bharti School of Telecommunications Technology & Management, Indian Institute of Technology, Delhi, India · Yardi School of Artificial Intelligence, Indian Institute of Technology, Delhi, India · Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India
ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning
May 19, 2026Yuan Zhao, Youwei Pang, Jiaming Zuo +10Image Segmentation Promptable Image Segmentation
1Dalian University of Technology, China · 3Nanyang Technological University, Singapore · 2X3000 Inspection Co., Ltd +3
X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing
May 19, 2026E O Rodrigues, L O Rodrigues, J J Lima +6Image Segmentation Medical Imaging
Department of Academic Informatics (DAINF), Universidade Tecnologica Federal do Parana (UTEPR), Pato Branco, Parana, Brazil · Graduate Program of Applied Sciences to Health Products, Universid ade Federal Fluminense(UFF), Niteroi, Rio de Janeiro, Brazil · Primary Health Care, Pato Branco Prefecture, Parana, Brazil +1
PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation
May 19, 2026Gabriele Rosi, Fabio Cermelli, Carlo Masone +1VLM Adaptation Text-Guided Image Segmentation
Politecnico di Torino · Focoos AI
Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
May 19, 2026Junyuan Ma, Xunzhi Xiang, Wenbin Li +2Vision Foundation Model Adaptation Few-Shot Learning
1Nanjing University
What Makes Synthetic Data Effective in Image Segmentation
May 19, 2026Jinjin Zhang, Xiefan Guo, Yizhou Jin +2Synthetic Data Augmentation Image Segmentation
State Key Laboratory of Complex and Critical Software Environment, Beihang University, Beijing 100191, China · School of Computer Science and Engineering, Beihang University, Beijing 100191, China
D-Convexity: A Unified Differentiable Convex Shape Prior via Quasi-Concavity for Data-driven Image Segmentation
May 19, 2026Shengzhe Chen, Hao YanImage Segmentation Semantic Segmentation
School of Computing and Augmented Intelligence, Arizona State University
Cracks in the Foundation: A Civil Infrastructure Dataset to Challenge Vision Foundation Models
May 18, 2026Nicola Farronato, Niccolo Avogaro, Thomas Frick +6Vision Foundation Models Instance Segmentation
IBM Research · ETH Zürich · University of Twente
Token-Space Mask Prediction for Efficient Vision Transformer Segmentation
May 18, 2026Calvin Galagain, Martyna Poreba, François GouletteVision Transformer Efficient ViTs
Universit´e Paris-Saclay, CEA List · U2IS, ENSTA Paris, Institut Polytechnique de Paris · F-91120 Palaiseau, France
SegRAG: Retrieval Augmented Spatial Prompting for Open Vocabulary Semantic Segmentation
May 17, 2026Abderrahmene Boudiaf, Irfan Hussain, Sajid JavedImage Segmentation Promptable Image Segmentation
Khalifa University, United Arab Emirates.
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
May 17, 2026Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour +1Multi-Task Learning Object Detection
Univrses AB, Stockholm, Sweden · KTH Royal Institute of Technology, Stockholm, Sweden
DepthPolyp: Pseudo-Depth Guided Lightweight Segmentation for Real-Time Colonoscopy
May 15, 2026Zhuoyu Wu, Wenhui Ou, Lexi Zhang +5Endoscopy Image Segmentation
CyPhi AI Lab, Monash University, Malaysia Campus, Malaysia · Department of Electronic & Computer Engineering, Hong Kong University of Science & Technology, Hong Kong, P.R. China · Harbin Institute of Technology, Harbin, P.R. China +1
Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation
May 15, 2026Chenhao Wang, Yingrui Ji, Yu Meng +1Image Segmentation Open-Vocabulary Semantic Segmentation
Aerospace Information Research Institute, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Zhejiang University
U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration
May 14, 2026Michael Smith, Frank P. FerrieImage Segmentation Panoptic Segmentation
Centre for Intelligent Machines, McGill University
Quantum Feature Pyramid Gating for Seismic Image Segmentation
May 14, 2026Taha Gharaibeh, Jyotsna SharmaImage Segmentation Hybrid Quantum-Classical ML
Louisiana State University Baton Rouge, Louisiana, USA
CoralLite: μCT Reconstruction of Coral Colonies from Individual Corallites
May 14, 2026Jess Jones, Leonardo Bertini, Kenneth Johnson +23D Reconstruction Computed Tomography
University of Bristol · University of Liverpool · Natural History Museum
SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation
May 14, 2026Hanxu Zhang, Chen Jia, Hui Liu +3Crack Segmentation Semantic Segmentation
Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China · Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China
UniTriGen: Unified Triplet Generation of Aligned Visible-Infrared-Label for Few-Shot RGB-T Semantic Segmentation
May 14, 2026Ping Zhou, Haoyu Wang, Mengmeng Zheng +4Cross-Modal Alignment Multimodal Generation
School of Computer Science, Northwestern Polytechnical University · School of Computer Science & Technology, Xi’an University of Posts & Telecommunications · MMLab, The Chinese University of Hong Kong
Deep Image Segmentation via Discriminant Feature Learning
May 14, 2026Adam Dawid Sztamborski, Raül Pérez-Gonzalo, Antonio AgudoImage Segmentation Representation Learning
Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain · Politechnika Łódzka, Łód´z, Poland
SpectraFlow: Unifying Structural Pretraining and Frequency Adaptation for Medical Image Segmentation
May 14, 2026Zhiquan Chen, Haitao Wang, Guowei Zou +1Flow Matching Image Segmentation
School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China · Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China

May 24, 2026, cs.ROJ/K move · Enter open · S save

GreenSeg: Ground Segmentation Algorithm for Agricultural Robots in Mediterranean Greenhouses using RGB-D Point Clouds

Fernando Cañadas-Aránega, José C. Moreno, José L. Blanco-Claraco

Department of Informatics, CIESOL, ceiA3, Universidad de Almería, Ctra. Sacramento s/n, Almería, 04120, Spain · Department of Engineering, CIESOL, ceiA3, Universidad de Almería, Ctra. Sacramento s/n, Almería, 04120, Spain

3D Point Cloud Segmentation Robot Navigation Agricultural Robotics Robotic Perception Semantic Segmentation

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Greenhouse agriculture in the Mediterranean region faces significant automation challenges due to its unique structural and environmental constraints. These environments are characterized by extremely narrow aisles, heterogeneous terrains ranging from concrete to tilled soil and severe optical interference caused by polyethylene covers, which induce specular reflections and "ghost points" in depth sensors. While autonomous navigation is essential for digitizing agricultural tasks, traditional solutions often rely on expensive 3D LiDAR systems that are economically unscalable for most facilities. To address this, this paper presents GreenSeg, a robust perception framework for autonomous navigation using RGB-D sensing. The proposed method introduces a dual-layer validation strategy: a robust global plane fitting combined with a surface curvature filter for terrain adaptability, and a seed-point-based Region Growing constraint to ensure the spatial continuity of the navigable plane. Experimental validation was conducted using the AGRICOBIOT I platform across four diurnal scenarios with varying solar elevations. The results show that GreenSeg consistently outperforms benchmark segmentation methods, achieving peak improvements of 11.58% in mean Recall and 19.24% in mIoU during critical rotational maneuvers at the end of corridors. These findings confirm that the proposed algorithm enables stable and safe autonomous navigation in unstructured, dynamic agricultural environments that are subject to budget constraints and sensitive to lighting conditions.

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