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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Holger Caesar, Jasper Uijlings, Vittorio Ferrari |
| 2016 |
| arxiv 1607.07671 |
| Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks | Shun-Yi Pan, Cheng-You Lu, Shih-Po Lee | 2021 | arxiv 2103.16762 |
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| Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation | Joel Valdivia Ortega, Tingying Peng, Marion Jasnin | 2026 | arxiv 2605.16393 |
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| ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data | Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen | 2020 | arxiv 2008.08974 |
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| Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation | Florian Wulff, Bernd Schaeufele, Julian Pfeifer | 2024 | arxiv 2410.13383 |
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| Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation | Samuel O. Folorunsho, William R. Norris | 2024 | arxiv 2402.18084 |
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| Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation | Niccolo Avogaro, Thomas Frick, Mattia Rigotti | 2025 | arxiv 2503.19647 |
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| 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation | Ozan Unal, Dengxin Dai, Lukas Hoyer | 2023 | arxiv 2311.15605 |
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| All you need are a few pixels: semantic segmentation with PixelPick | Gyungin Shin, Weidi Xie, Samuel Albanie | 2021 | arxiv 2104.06394 |
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| Crack Semantic Segmentation using the U-Net with Full Attention Strategy | Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu | 2021 | arxiv 2104.14586 |
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