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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Timo Sämann, Karl Amende, Stefan Milz |
| 2018 |
| arxiv 1811.12008 |
| Evidential fully convolutional network for semantic segmentation | Zheng Tong, Philippe Xu, Thierry Den\oeux | 2021 | arxiv 2103.13544 |
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| Hybridnet for depth estimation and semantic segmentation | Dalila Sánchez-Escobedo, Xiao Lin, Josep R. Casas | 2024 | arxiv 2402.06539 |
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| LabelBank: Revisiting Global Perspectives for Semantic Segmentation | Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou | 2017 | arxiv 1703.09891 |
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| Weakly Supervised Semantic Segmentation of Satellite Images | Adrien Nivaggioli, Hicham Randrianarivo | 2019 | arxiv 1904.03983 |
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| Simultaneous Object Detection and Semantic Segmentation | Niels Ole Salscheider | 2019 | arxiv 1905.02285 |
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| Efficient Self-Ensemble for Semantic Segmentation | Walid Bousselham, Guillaume Thibault, Lucas Pagano | 2021 | arxiv 2111.13280 |
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| Learning Statistical Texture for Semantic Segmentation | Lanyun Zhu, Deyi Ji, Shiping Zhu | 2021 | arxiv 2103.04133 |
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| Conterfactual Generative Zero-Shot Semantic Segmentation | Feihong Shen, Jun Liu, Ping Hu | 2021 | arxiv 2106.06360 |
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| SENSE: Stereo OpEN Vocabulary SEmantic Segmentation | Thomas Campagnolo, Ezio Malis, Philippe Martinet | 2026 | arxiv 2604.15946 |
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