Research

Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges	Qingyong Hu, Bo Yang, Sheikh Khalid	2020	arxiv 2009.03137
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization	Daiqing Li, Junlin Yang, Karsten Kreis	2021	arxiv 2104.05833
AxonCallosumEM Dataset: Axon Semantic Segmentation of Whole Corpus Callosum cross section from EM Images	Ao Cheng, Guoqiang Zhao, Lirong Wang	2023	arxiv 2307.02464
All Attention U-NET for Semantic Segmentation of Intracranial Hemorrhages In Head CT Images	Chia Shuo Chang, Tian Sheuan Chang, Jiun Lin Yan	2023	arxiv 2312.10483
Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation	Philipp Kainz, Michael Pfeiffer, Martin Urschler	2015	arxiv 1511.06919
Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images	Elle Buser, Emma Hart, Ben Huenemann	2021	arxiv 2109.14116
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis	Illia Tsiporenko, Pavel Chizhov, Dmytro Fishman	2024	arxiv 2409.16940
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions	Mingjia Li, Binhui Xie, Shuang Li	2022	arxiv 2211.12256
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation	Jungbeom Lee, Eunji Kim, Sungmin Lee	2019	arxiv 1908.04501
FD-FCN: 3D Fully Dense and Fully Convolutional Network for Semantic Segmentation of Brain Anatomy	Binbin Yang, Weiwei Zhang	2019	arxiv 1907.09194
Prompt-DAS: Annotation-Efficient Prompt Learning for Domain Adaptive Semantic Segmentation of Electron Microscopy Images	Jiabao Chen, Shan Xiong, Jialin Peng	2025	arxiv 2509.18973
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier	Prantik Howlader, Srijan Das, Hieu Le	2024	arxiv 2407.04036
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation	Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata	2020	arxiv 2002.05487
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review	Shanliang Yao, Runwei Guan, Xiaoyu Huang	2023	arxiv 2304.10410
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization	Mengtian Li, Shaohui Lin, Zihan Wang	2024	arxiv 2401.06975
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation	Hao Zhu, Yan Zhu, Jiayu Xiao	2024	arxiv 2412.03968
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving	Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani	2020	arxiv 2008.04017
TAS-NIR: A VIS+NIR Dataset for Fine-grained Semantic Segmentation in Unstructured Outdoor Environments	Peter Mortimer, Hans-Joachim Wuensche	2022	arxiv 2212.09368
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images	Liangrui Pan, Lian Wang, Zhichao Feng	2023	arxiv 2308.10449
3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation	Chris Lehnert, Dorian Tsai, Anders Eriksson	2018	arxiv 1809.07896

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