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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Daehan Kim, Minseok Seo, Kwanyong Park |
| 2023 |
| arxiv 2303.09779 |
| Revisiting Multi-Scale Feature Fusion for Semantic Segmentation | Tianjian Meng, Golnaz Ghiasi, Reza Mahjourian | 2022 | arxiv 2203.12683 |
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| Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation | Donghyeon Baek, Youngmin Oh, Sanghoon Lee | 2022 | arxiv 2210.05941 |
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| Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP | Feng Liang, Bichen Wu, Xiaoliang Dai | 2022 | arxiv 2210.04150 |
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| dinov3.seg: Open-Vocabulary Semantic Segmentation with DINOv3 | Saikat Dutta, Biplab Banerjee, Hamid Rezatofighi | 2026 | arxiv 2603.19531 |
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| FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving | Eros Fanì, Marco Ciccone, Barbara Caputo | 2023 | arxiv 2309.13336 |
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| LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation | Zeyu Hu, Xuyang Bai, Runze Zhang | 2022 | arxiv 2211.05997 |
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| Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure | Lutz M. K. Krause, Emily Manderfeld, Patricia Gnutt | 2022 | arxiv 2211.11607 |
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| Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene | Jilin Mei, Huijing Zhao | 2020 | arxiv 2003.13926 |
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| Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision | Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman | 2019 | arxiv 1907.07023 |
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| Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation | Jiahao Li, Yang Lu, Yachao Zhang | 2025 | arxiv 2509.01275 |
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