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
Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation	Benjamin Bischke, Patrick Helber, Florian König	2018	arxiv 1808.03195
Learnable Histogram: Statistical Context Features for Deep Neural Networks	Zhe Wang, Hongsheng Li, Wanli Ouyang	2018	arxiv 1804.09398
Machine-learned 3D Building Vectorization from Satellite Imagery	Yi Wang, Stefano Zorzi, Ksenia Bittner	2021	arxiv 2104.06485
Feature Pyramid Network for Multi-Class Land Segmentation	Selim S. Seferbekov, Vladimir I. Iglovikov, Alexander V. Buslaev	2018	arxiv 1806.03510
Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View	Markus Kängsepp, Meelis Kull	2022	arxiv 2211.04340
Handling Image and Label Resolution Mismatch in Remote Sensing	Scott Workman, Armin Hadzic, M. Usman Rafique	2022	arxiv 2211.15790
FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing	Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz	2025	arxiv 2501.08490
Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation	Yudian Zhang, Chenhao Xu, Kaiye Xu	2024	arxiv 2405.05830
Defect Detection in Magnetic Systems Using U-Net and Statistical Measures	Ross Knapman, Atreya Majumdar, Nasim Bazazzadeh	2026	arxiv 2603.07542
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?	Shashank Agnihotri, David Schader, Nico Sharei