SOTA2 Research · papers

Papers for “semantic segmentation”

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

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20 indexed

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

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